AI Engineer - FDE Software Engineering Sr. Manager

Accenture is hiring an AI Engineer to embed with clients as a technologist and trusted advisor. In this onsite role in Overland Park, KS, you will help define, prototype, and deploy secure, operational agentic workflows for enterprise environments, shaping how AI-native engineering is adopted and scaled across organizations.

What you’ll deliver

• 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 (including Anthropic, Google, OpenAI, and other providers) to enable seamless integration and faster enablement.
• Leverage Kubernetes, Docker, microservices, serverless, and event-driven architectures, along with CI/CD and observability, to deliver scalable AI-native systems.
• Tailor agentic applications to verticals such as finance, healthcare, and retail, addressing domain-specific processes through intelligent automation.
• Run design workshops, POCs, and code-with sessions to build data-driven workflows with stakeholders while supporting trust and adoption.
• Define and use key metrics, test harnesses, and evaluation plans to measure accuracy, latency, safety, and cost effectiveness.
• Create reusable patterns, documentation, and best practices that influence internal assets and client roadmaps.

How you’ll work with clients

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

Core skills and experience

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

Tools and technologies

Python, Java, Anthropic, Google, OpenAI, Kubernetes, Docker, microservices, serverless, CI/CD, Terraform, Helm, Claude, open-source models, semantic models, ontologies, knowledge graphs, RAG, APIs, and event-driven architectures.

Compensation and benefits

Salary range: USD 122,700 - 302,400 per year.

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

Potential travel: up to 100%.