AI Engineer - FDE Software Engineering Sr. Manager

Accenture is hiring an AI Engineer to embed with clients and deliver secure, operational agentic workflows in enterprise environments.

Responsibilities

• Design and engineer enterprise-ready AI agents including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability
• Create abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to support seamless integration and enablement
• Build scalable AI-native systems using containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability
• Tailor and deploy agentic applications across verticals such as finance, healthcare, and retail, supporting domain-specific processes with intelligent automation
• Lead 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 measure accuracy, latency, safety, and cost effectiveness
• Develop reusable patterns, documentation, and best practices to influence internal assets and client roadmaps

Requirements

• Minimum 10 years of experience with end-to-end software engineering and SDLC expertise
• Minimum 8 years of experience with:
  • Programming in Python, Java, or equivalent, plus familiarity with evaluation tooling, logging, monitoring, and agent observability
  • Production deployment practices, including CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging
  • Client communication and collaboration, including leading technical workshops and delivering under ambiguity
• Minimum 3 years of experience with:
  • Cloud-native systems (APIs, microservices, containerization, serverless)
  • AI platforms (OpenAI, Claude, plus open-source models), including building abstraction layers for multi-provider pipelines
• Minimum 2 years of hands-on experience designing and delivering Agentic AI solutions
• Minimum 1.5 years of experience with:
  • Semantic models, ontologies, knowledge graphs, or enterprise knowledge
  • Coding agents and AI-assisted software development
• Minimum 1 year of expertise in 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
• Open-source models
• Kubernetes, Docker
• Microservices, serverless, event-driven architectures
• CI/CD, Terraform, Helm
• Semantic models, ontologies, knowledge graphs
• RAG
• APIs

Benefits

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

How You’ll Work

• Embed directly with clients as both technologist and trusted advisor
• Partner with stakeholders to define use cases, rapidly prototype, and deploy robust, secure, operational agentic workflows in complex enterprise domains
• Support net-new platforms and systems, integrating solutions alongside client environments and Ecosystem partners

Bonus Points

• Served as an Agentic AI Engineer in an Enterprise environment
• Additional AI certifications or agentic tool experience
• 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, optimized for performance, modularity, and efficiency
• Delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs

Location: Overland Park, KS (onsite)
Salary: USD 122,700 - 302,400 per yearly
Travel: Potential up to 100%