AI Engineer - FDE Software Engineering Sr. Manager

Accenture is seeking an AI Native Engineer to embed with clients and help design, build, and deploy agentic workflows and AI-native systems in enterprise environments. The work spans end-to-end agent architecture, platform integration, and cloud-native engineering, with hands-on client engagement through POCs and code-with sessions.

What you’ll do

• Design and engineer enterprise-ready AI agents including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Build abstraction layers across AI providers such as Anthropic, Google, OpenAI, and others to support seamless integration and enablement.
• Use containerization and cloud-native patterns including Kubernetes, Docker, microservices, serverless, and event-driven architectures, along with CI/CD and observability to deliver scalable AI-native systems.
• Tailor and deploy agentic applications across verticals such as finance, healthcare, and retail, addressing domain-specific processes through intelligent automation.
• Run design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders and support trust and adoption.
• Define and apply key metrics, test harnesses, and evaluation plans to assess accuracy, latency, safety, and cost effectiveness.
• Create reusable patterns, documentation, and best practices that can influence internal assets and client roadmaps.

Requirements

• 10+ years of end-to-end software engineering experience and SDLC expertise.
• 8+ years with programming in Python, Java, or equivalent, plus familiarity with evaluation tooling, logging, monitoring, and agent observability.
• 8+ years deploying to production, including CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• 8+ years in client communication and collaboration, including leading technical workshops and delivering under ambiguity.
• 3+ years engineering cloud-native systems, including APIs, microservices, containerization, and serverless.
• 3+ years working with AI platforms such as OpenAI and Claude, and open-source models, including building abstraction layers to manage multi-provider pipelines.
• 2+ years hands-on experience designing and delivering Agentic AI solutions.
• 1.5+ years experience with semantic models, ontologies, knowledge graphs, or enterprise knowledge.
• 1.5+ years experience using coding agents and AI-assisted software development.
• 1+ year expertise designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Bachelor’s degree or equivalent (minimum 12 years work experience). If Associate Degree, must have minimum 6 years work experience.

Technologies

• Python, Java, Anthropic, Google, OpenAI, Claude
• Kubernetes, Docker
• Microservices, serverless, event-driven architectures
• CI/CD, observability, Terraform, Helm
• APIs, open-source models
• Semantic models, ontologies, knowledge graphs
• RAG, AI agents

Location and role details

• Location: New York, NY (onsite)
• Compensation: USD 122,700 - 302,400 per year
• Travel: Travel may be required for this role, varying from 0 to 100% based on business need and client requirements.

Benefits

• Medical, dental, vision, life, and long-term disability coverage
• 401(k) plan
• Bonus opportunities
• Paid holidays
• Paid time off

Bonus points

• Experience as an Agentic AI Engineer in an enterprise environment
• Additional AI certifications or agentic tool experience
• Experience defining or working 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 optimized for performance, modularity, and efficiency
• Delivered solutions across multiple industries (for example, finance and healthcare) by tailoring agentic workflows to industry needs