Forward Deployed Engineer (FDE) Sr Analyst

We are a forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

About the role

You are an AI Native Engineer with a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, especially for enterprise environments. You’re a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure. You'll shape how enterprises adopt AI-native engineering—either by leading complex agentic solutions and developing engineering talent, or by owning critical technical areas end-to-end as a senior IC.

Responsibilities

• Partner directly with client stakeholders—acting as both technologist and trusted advisor. Define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains.
• Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability. Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly.
• Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi-provider enablement. Contribute to shared libraries, SDKs, and patterns that can be reused across clients.
• Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems. Own deployment, monitoring, and troubleshooting for your services in production.
• Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain-specific processes and constraints. Work closely with client SMEs to translate business workflows into agentic solutions.
• Participate in and/or lead design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption. Communicate trade-offs, risks, and recommendations clearly to both technical and non-technical audiences.
• Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness. Iterate rapidly based on data, feedback, and changing requirements.
• Craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps. Contribute to internal communities of practice around AI-native and agentic engineering.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

Requirements

• Minimum of 2 years of engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 1 year of hands-on experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production or near-production environments.
• Minimum of 1 year of experience with modern AI platforms—OpenAI, Claude, Vertex AI, or open-source models—including building or using abstraction layers for multi-provider pipelines.
• Minimum of 3 years strong Python, Java or equivalent experience building 12-factor applications + Infrastructure as Code (Terraform, Helm).
• Minimum of 3 years of experience in client-facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions under ambiguity.
• Bachelor's degree in Computer Science, Engineering or equivalent OR equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience).

Nice-to-have

• Relevant AI certifications or agentic tooling experience.
• Experience as an Agentic / AI Engineer in an enterprise environment.
• Built multi-agent orchestrations using (Lang-graph, Crew AI, Claude SDK, Open AI SDK, etc).
• A GitHub repo with an agent/plugins you have created.
• Additional AI certifications or experience with agentic tooling and frameworks.
• Defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry / stream-based architectures.
• Understanding of the AI-native paradigm—blending cloud-native with generative model architectures—optimizing for performance, modularity, and efficiency.
• Delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs.
• Driven execution across multiple workstreams, ensuring quality, delivery, and alignment with client outcomes.

Benefits

Accenture offers a market-competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

Pay

Compensation varies depending on office location, role, skill set, and level of experience. Hourly salary ranges for this role by location:

• California: $26.39 to $81.68
• Cleveland: $24.42 to $65.34
• Colorado: $26.39 to $70.58
• District of Columbia: $28.08 to $75.14
• Illinois: $24.42 to $70.58
• Maine: $22.45 to $60.10
• Maryland: $26.39 to $70.58
• Massachusetts: $26.39 to $75.14
• Minnesota: $26.39 to $70.58
• New York: $24.42 to $81.68
• New Jersey: $28.08 to $81.68
• Virginia: $24.42 to $75.14
• Washington: $28.08 to $75.14