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

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

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

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

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%

AI Engineer - FDE Software Engineering Sr. Manager

Job Description