Junior Forward Deployed Engineer
for each section heading.
We need to use - for any list of duties/requirements/benefits. For prose use
.
We need to preserve all substantive information. Remove boilerplate: the repeated intro paragraphs about Accenture Federal Services mission etc. We need to keep substantive content: the APX program description, responsibilities, what you bring, what you need, bonus points, pay range. Also maybe mention "Join Accenture Federal Services..." but that's boilerplate? It's generic marketing; but it's part of the posting. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The intro paragraphs about mission etc might be considered boilerplate but they are part of the posting's description. However they are repeated twice. The instruction says remove duplicated lines. The repeated mission paragraph appears twice exactly. We should keep one copy? It's not essential to the role specifics; but it's about company. Might be considered boilerplate. Safer to remove it because it's not specific to the role. The posting also includes "Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community..." That's also generic. Probably remove.
Thus we keep: About the APX Forward Deployed Engineer (FDE) Program: description. Then What You Will Do: list. Then What You Bring: list (maybe bullet). Then Here’s What You Need: list. Then Bonus Points if You Have: list. Then pay range.
We need to convert each bullet list into
- . For prose sections like the program description, we can put in
.
Let's extract content.
About the APX Forward Deployed Engineer (FDE) Program:
"APX (Advanced Partnership Accelerator) is a Center of Excellence under AFS’ Data & AI capability. The APX Forward Deployed Engineer (FDE) Program represents a strategic initiative to position Accenture Federal Services at the forefront of artificial intelligence innovation in government. This program embeds top technical talent directly with federal clients to fast track the adoption and implementation of advanced technologies from Palantir, Databricks, OpenAI, Anthropic, Google, and cutting edge AI partners. As an FDE, you will serve as the critical bridge between breakthrough AI technology and mission-critical federal requirements. You'll work hands-on with the most advanced AI models available, translating their transformative potential into tangible value for defense, intelligence, civilian, and public health missions. This is not a traditional consulting role; FDEs are technical practitioners, innovators, and trusted advisors who operate at the cutting edge of what's possible with AI in highly regulated, high-security federal environments."
That's a paragraph.
What You Will Do: list items:
- Embed within client environments as part of a forward deployed engineering (FDE) team to build rapid prototypes using AI tools, coding assistants, and modern frameworks
- Use AI tools (LLMs, coding assistants, agentic frameworks) as part of daily development work
- Support integration of solutions into complex client environments, including legacy systems and regulated data contexts
- Work across the tech stack (frontend, backend, APIs, simple data pipelines) and help develop applications and workflows that use structured and unstructured enterprise data
- Assist in evaluating model outputs, testing workflows, and applying responsible AI guardrails
- Implement AI solutions such as RAG workflows, semantic search, prompt engineering patterns, and simple agent behaviors
- Work with senior FDEs to clarify problem statements and translate them into technical plans
- Participate in rapid experimentation cycles and incorporate user feedback into updates, documenting solution decisions and contributing to internal learning assets
- Leverage technical expertise to help clients navigate the rapidly evolving technological landscape, serving as a trusted advisor on emerging AI capabilities, increasing user adoption and scaling mission impact
- Share observations, user friction points, reusable assets and field intelligence back to APX teams to improve delivery approaches
That's a list.
What You Bring: list items (maybe bullet). The text:
"Mission-first Mindset & Relentless Problem Solving: You move fast because the mission can’t wait. You make smart bets in ambiguous terrain, taking ownership early and giving every challenge your full drive before ever considering stepping back. You push through ambiguity, communicate risks and trade-offs, investigate solutions independently to forge the future, and maintain momentum even when the path forward is unclear.
Grit & Tenacity to Engineer at the Edge: You remain steady when projects get messy and keep pushing forward through rapid experimentation cycles. You show up confidently in client working sessions, support senior FDEs at the mission edge, adapt in real time, and help teams operate decisively even in uncertainty.
Bias for Building: You iterate quickly, communicate plainly across technical and non-technical teammates, ask sharp questions, and summarize decisions in a way that moves teams forward with confidence and alignment. You build work that adds value for our clients, making bold ideas happen fast.
Limitless Curiosity & Frontier Learning: You learn rapidly across a wide, rapidly changing technical frontier, from LLMs and agent frameworks to cloud platforms and enterprise AI ecosystems. You approach new tools with curiosity, adaptability, and velocity, and you prefer building and testing over long specification cycles."
We could treat each as a list item with heading bold? But we need to output
- . Could combine each paragraph as a list item. Might be okay.
Here’s What You Need: list:
- Bachelor’s Degree or demonstrated hands-on coding experience building and shipping software projects
- Proficiency in at least one modern programming language (e.g., Python, R, Rust) with knowledge of building production services
- Familiarity with Generative AI (LLMs, chatbots, or AI-powered apps) and eagerness to learn how model outputs influence product workflows
- Exposure working with APIs and simple data flows, managing structured and unstructured data and ensure data quality.
- Ability to travel, dependent on client and team
- Must be a U.S. Citizen and ability to obtain a federal security clearance
Bonus Points if You Have: list:
- Degree in Computer Science, Engineering, Economics, Statistics, or a related technical field
- Experience with Palantir, Databricks, OpenAI, Anthropic, Google or other emerging technology platforms
- Prior client experience or collaborative technical work (consulting internships, hackathons, customer success engineering, or team-based builds)
- Exposure to cloud services (AWS, Azure, GCP) from coursework, certificates, internships, or individual projects
- Experience integrating or deploying code in environments with constraints (legacy systems, governance, access controls)
- Demonstrated ability to take a small idea from zero-to-prototype independently
- Curiosity about how different frontier labs operate and eagerness to learn their platforms: Vertex AI, Azure OpenAI, Claude, etc.
- Relevant Google, Anthropic, or OpenAI certifications or training courses
- Ability to travel (up to 50%) depending on business need and client requirements
- Active federal security clearance
Pay: The pay range: "$72,600—$132,100 USD". Also mention that compensation varies etc. We should include the range. The statement: "As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is: $72,600—$132,100 USD"
We should keep the pay range and maybe the statement about variation. But we should not create Benefits section. We can include a
about compensation variation. The instruction: "Prefer a few substantive sections over many thin ones." So we can have Pay section with the range and maybe a note about variation.
We must not include application instructions like "We accept applications on an on-going basis and there is no fixed deadline to apply." That's application instruction; remove.
Thus Pay section:
Pay
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is $72,600—$132,100 USD. Compensation varies depending on office location, role, skill set, and level of experience.
We removed the benefits line.
Now we need to ensure we don't repeat any content. Also we need to avoid headings with empty content.
Now produce HTML fragment.
Let's craft:
About the role
APX (Advanced Partnership Accelerator) is a Center of Excellence under AFS’ Data & AI capability. The APX Forward Deployed Engineer (FDE) Program represents a strategic initiative to position Accenture Federal Services at the forefront of artificial intelligence innovation in government. This program embeds top technical talent directly with federal clients to fast track the adoption and implementation of advanced technologies from Palantir, Databricks, OpenAI, Anthropic, Google, and cutting edge AI partners. As an FDE, you will serve as the critical bridge between breakthrough AI technology and mission-critical federal requirements. You'll work hands-on with the most advanced AI models available, translating their transformative potential into tangible value for defense, intelligence, civilian, and public health missions. This is not a traditional consulting role; FDEs are technical practitioners, innovators, and trusted advisors who operate at the cutting edge of what's possible with AI in highly regulated, high-security federal environments.
Responsibilities
- Embed within client environments as part of a forward deployed engineering (FDE) team to build
. We need to preserve all substantive information. Remove boilerplate: the repeated intro paragraphs about Accenture Federal Services mission etc. We need to keep substantive content: the APX program description, responsibilities, what you bring, what you need, bonus points, pay range. Also maybe mention "Join Accenture Federal Services..." but that's boilerplate? It's generic marketing; but it's part of the posting. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The intro paragraphs about mission etc might be considered boilerplate but they are part of the posting's description. However they are repeated twice. The instruction says remove duplicated lines. The repeated mission paragraph appears twice exactly. We should keep one copy? It's not essential to the role specifics; but it's about company. Might be considered boilerplate. Safer to remove it because it's not specific to the role. The posting also includes "Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community..." That's also generic. Probably remove. Thus we keep: About the APX Forward Deployed Engineer (FDE) Program: description. Then What You Will Do: list. Then What You Bring: list (maybe bullet). Then Here’s What You Need: list. Then Bonus Points if You Have: list. Then pay range. We need to convert each bullet list into
- . For prose sections like the program description, we can put in
. Let's extract content. About the APX Forward Deployed Engineer (FDE) Program: "APX (Advanced Partnership Accelerator) is a Center of Excellence under AFS’ Data & AI capability. The APX Forward Deployed Engineer (FDE) Program represents a strategic initiative to position Accenture Federal Services at the forefront of artificial intelligence innovation in government. This program embeds top technical talent directly with federal clients to fast track the adoption and implementation of advanced technologies from Palantir, Databricks, OpenAI, Anthropic, Google, and cutting edge AI partners. As an FDE, you will serve as the critical bridge between breakthrough AI technology and mission-critical federal requirements. You'll work hands-on with the most advanced AI models available, translating their transformative potential into tangible value for defense, intelligence, civilian, and public health missions. This is not a traditional consulting role; FDEs are technical practitioners, innovators, and trusted advisors who operate at the cutting edge of what's possible with AI in highly regulated, high-security federal environments." That's a paragraph. What You Will Do: list items: - Embed within client environments as part of a forward deployed engineering (FDE) team to build rapid prototypes using AI tools, coding assistants, and modern frameworks - Use AI tools (LLMs, coding assistants, agentic frameworks) as part of daily development work - Support integration of solutions into complex client environments, including legacy systems and regulated data contexts - Work across the tech stack (frontend, backend, APIs, simple data pipelines) and help develop applications and workflows that use structured and unstructured enterprise data - Assist in evaluating model outputs, testing workflows, and applying responsible AI guardrails - Implement AI solutions such as RAG workflows, semantic search, prompt engineering patterns, and simple agent behaviors - Work with senior FDEs to clarify problem statements and translate them into technical plans - Participate in rapid experimentation cycles and incorporate user feedback into updates, documenting solution decisions and contributing to internal learning assets - Leverage technical expertise to help clients navigate the rapidly evolving technological landscape, serving as a trusted advisor on emerging AI capabilities, increasing user adoption and scaling mission impact - Share observations, user friction points, reusable assets and field intelligence back to APX teams to improve delivery approaches That's a list. What You Bring: list items (maybe bullet). The text: "Mission-first Mindset & Relentless Problem Solving: You move fast because the mission can’t wait. You make smart bets in ambiguous terrain, taking ownership early and giving every challenge your full drive before ever considering stepping back. You push through ambiguity, communicate risks and trade-offs, investigate solutions independently to forge the future, and maintain momentum even when the path forward is unclear. Grit & Tenacity to Engineer at the Edge: You remain steady when projects get messy and keep pushing forward through rapid experimentation cycles. You show up confidently in client working sessions, support senior FDEs at the mission edge, adapt in real time, and help teams operate decisively even in uncertainty. Bias for Building: You iterate quickly, communicate plainly across technical and non-technical teammates, ask sharp questions, and summarize decisions in a way that moves teams forward with confidence and alignment. You build work that adds value for our clients, making bold ideas happen fast. Limitless Curiosity & Frontier Learning: You learn rapidly across a wide, rapidly changing technical frontier, from LLMs and agent frameworks to cloud platforms and enterprise AI ecosystems. You approach new tools with curiosity, adaptability, and velocity, and you prefer building and testing over long specification cycles." We could treat each as a list item with heading bold? But we need to output
- . Could combine each paragraph as a list item. Might be okay.
Here’s What You Need: list:
- Bachelor’s Degree or demonstrated hands-on coding experience building and shipping software projects
- Proficiency in at least one modern programming language (e.g., Python, R, Rust) with knowledge of building production services
- Familiarity with Generative AI (LLMs, chatbots, or AI-powered apps) and eagerness to learn how model outputs influence product workflows
- Exposure working with APIs and simple data flows, managing structured and unstructured data and ensure data quality.
- Ability to travel, dependent on client and team
- Must be a U.S. Citizen and ability to obtain a federal security clearance
Bonus Points if You Have: list:
- Degree in Computer Science, Engineering, Economics, Statistics, or a related technical field
- Experience with Palantir, Databricks, OpenAI, Anthropic, Google or other emerging technology platforms
- Prior client experience or collaborative technical work (consulting internships, hackathons, customer success engineering, or team-based builds)
- Exposure to cloud services (AWS, Azure, GCP) from coursework, certificates, internships, or individual projects
- Experience integrating or deploying code in environments with constraints (legacy systems, governance, access controls)
- Demonstrated ability to take a small idea from zero-to-prototype independently
- Curiosity about how different frontier labs operate and eagerness to learn their platforms: Vertex AI, Azure OpenAI, Claude, etc.
- Relevant Google, Anthropic, or OpenAI certifications or training courses
- Ability to travel (up to 50%) depending on business need and client requirements
- Active federal security clearance
Pay: The pay range: "$72,600—$132,100 USD". Also mention that compensation varies etc. We should include the range. The statement: "As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is: $72,600—$132,100 USD"
We should keep the pay range and maybe the statement about variation. But we should not create Benefits section. We can include a
about compensation variation. The instruction: "Prefer a few substantive sections over many thin ones." So we can have Pay section with the range and maybe a note about variation. We must not include application instructions like "We accept applications on an on-going basis and there is no fixed deadline to apply." That's application instruction; remove. Thus Pay section:
Pay
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is $72,600—$132,100 USD. Compensation varies depending on office location, role, skill set, and level of experience.
We removed the benefits line. Now we need to ensure we don't repeat any content. Also we need to avoid headings with empty content. Now produce HTML fragment. Let's craft:About the role
APX (Advanced Partnership Accelerator) is a Center of Excellence under AFS’ Data & AI capability. The APX Forward Deployed Engineer (FDE) Program represents a strategic initiative to position Accenture Federal Services at the forefront of artificial intelligence innovation in government. This program embeds top technical talent directly with federal clients to fast track the adoption and implementation of advanced technologies from Palantir, Databricks, OpenAI, Anthropic, Google, and cutting edge AI partners. As an FDE, you will serve as the critical bridge between breakthrough AI technology and mission-critical federal requirements. You'll work hands-on with the most advanced AI models available, translating their transformative potential into tangible value for defense, intelligence, civilian, and public health missions. This is not a traditional consulting role; FDEs are technical practitioners, innovators, and trusted advisors who operate at the cutting edge of what's possible with AI in highly regulated, high-security federal environments.
Responsibilities
- Embed within client environments as part of a forward deployed engineering (FDE) team to build
- . Could combine each paragraph as a list item. Might be okay.
Here’s What You Need: list:
- Bachelor’s Degree or demonstrated hands-on coding experience building and shipping software projects
- Proficiency in at least one modern programming language (e.g., Python, R, Rust) with knowledge of building production services
- Familiarity with Generative AI (LLMs, chatbots, or AI-powered apps) and eagerness to learn how model outputs influence product workflows
- Exposure working with APIs and simple data flows, managing structured and unstructured data and ensure data quality.
- Ability to travel, dependent on client and team
- Must be a U.S. Citizen and ability to obtain a federal security clearance
Bonus Points if You Have: list:
- Degree in Computer Science, Engineering, Economics, Statistics, or a related technical field
- Experience with Palantir, Databricks, OpenAI, Anthropic, Google or other emerging technology platforms
- Prior client experience or collaborative technical work (consulting internships, hackathons, customer success engineering, or team-based builds)
- Exposure to cloud services (AWS, Azure, GCP) from coursework, certificates, internships, or individual projects
- Experience integrating or deploying code in environments with constraints (legacy systems, governance, access controls)
- Demonstrated ability to take a small idea from zero-to-prototype independently
- Curiosity about how different frontier labs operate and eagerness to learn their platforms: Vertex AI, Azure OpenAI, Claude, etc.
- Relevant Google, Anthropic, or OpenAI certifications or training courses
- Ability to travel (up to 50%) depending on business need and client requirements
- Active federal security clearance
Pay: The pay range: "$72,600—$132,100 USD". Also mention that compensation varies etc. We should include the range. The statement: "As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is: $72,600—$132,100 USD"
We should keep the pay range and maybe the statement about variation. But we should not create Benefits section. We can include a