Snowflake Forward Deployed Engineer - GPS
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real content.
We need to parse the posting.
Content:
- Intro paragraph about Deloitte AI & Engineering team: "Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation."
That's about the role/team. Could be "About the role" or "About the team". Use About the role
with
. - Then "Work you'll do As a Snowflake Forward Deployed Engineer (FDE), you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one." That's responsibilities. Then "Additional responsibilities include:" followed by bullet list. We need to extract bullet list items: Client Engagement - Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. - Partner with leaders, product owners, architects, and engineers to align priorities and delivery. - Lead working sessions to shape solutions and drive client outcomes. - Prototype and deliver working AI solutions using industry expertise and emerging capabilities. - Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering - Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms. - Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls. - Apply architecture decisions that balance quality, safety, latency, cost, and model risk. - Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation. - Design extensible functionality, support sprint sizing, and align solutions with senior team members. - Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations. We can combine into one list or separate sections? The instruction: Use
- for any list of duties/requirements/benefits. Could have one list for responsibilities. Could separate by headings? Not required. We'll put under Responsibilities heading.
Then "A successful candidate would possess these skills:" followed by bullet list of skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
These are skills. Could be under Skills heading.
Then "The Team" paragraph about Deloitte's Government & Public Services (GPS) practice. That's more about the team; could be part of About the role or separate "About the team". We'll include under About the role maybe extended.
Then "Qualifications Required:" bullet list:
- Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
- 4+ years of experience in software engineering, data engineering, data science, or analytics engineering.
- 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
- 1+ years of experience with Snowflake including hands on experience with one of the following key platform technologies; Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed
- 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
- 1+ years of experience building reliable, maintainable, and well-documented code
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Ability to obtain and maintain a US government security clearance
Then "Preferred:" bullet list:
- Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
- Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
- Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
- Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
- Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
- Experience operating within hybrid onshore/offshore teams
- Familiarity with security, privacy, and compliance considerations
Then compensation: "The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance."
Thus we have Pay section with that content. Also maybe Benefits? Not mentioned. Schedule? Not mentioned. So we include only sections with real content: About the role, Responsibilities, Skills, Qualifications, Pay. Possibly also "Preferred qualifications" could be part of Qualifications or separate. But we can combine Required and Preferred under Qualifications heading with subheadings? The instruction: use
for section headings. Could have Qualifications heading and inside we can have
for required and preferred paragraphs, maybe with but not needed. We'll just list all qualifications (required and preferred) as a list under Qualifications. But we need to preserve all substantive info; we can separate required and preferred as separate
paragraphs. We must not include boilerplate like EEO etc. Not present. We must not repeat job title as heading. Not include Job ID. We must output only HTML fragment. Let's craft:
About the role
Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. The Team: Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.
Responsibilities
- Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
- Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
- Lead working sessions to shape solutions and drive client outcomes.
- Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
- Contribute independently within an FDE pod while mentoring newer team members.
- Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
- Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
- Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
- Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
- Design extensible functionality, support sprint sizing, and align solutions with senior team members.
- Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.
Skills
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
Qualifications
Required:
- Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
- 4+ years of experience in software engineering, data engineering, data science, or analytics engineering.
- 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
- 1+ years of experience with Snowflake including hands on experience with one of the following key platform technologies; Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed
- 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
- 1+ years of experience building reliable, maintainable, and well-documented code
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Ability to obtain and maintain a US government security clearance
Preferred:
- Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
- Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
- Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
- Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
- Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
- Experience operating within hybrid onshore/offshore teams
- Familiarity with security, privacy, and compliance considerations
Pay
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed