AI Engineer - FDE Software Engineering Sr. Manager

Accenture is hiring an AI Engineer to embed with enterprise clients as a technologist and trusted advisor. The role focuses on defining, prototyping, and deploying secure, operational agentic workflows, including architecture, AI platform integration, evaluation, and knowledge sharing.

Key Responsibilities

• Design and engineer enterprise-ready AI agents, including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Develop abstraction layers across AI providers such as Anthropic, Google, and OpenAI 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, 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 measure agent accuracy, latency, safety, and cost effectiveness.
• Create reusable patterns, documentation, and best practices that influence internal assets and client roadmaps.

Required Qualifications

• Minimum 10 years of experience in end-to-end software engineering with SDLC expertise.
• Minimum 8 years experience in:
  • Programming in Python, Java, or equivalent, plus familiarity with evaluation tooling, logging, monitoring, and agent observability.
  • Deploying to production, 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 experience in:
  • Cloud-native systems (APIs, microservices, containerization, serverless).
  • AI platforms including OpenAI, Claude, and open-source models, including building abstraction layers for multi-provider pipelines.
• Minimum 2 years hands-on experience designing and delivering Agentic AI solutions.
• Minimum 1.5 years experience with semantic models, ontologies, knowledge graphs, or enterprise knowledge, and experience using coding agents and AI-assisted software development.
• Minimum 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 an Associate Degree is held, a minimum of 6 years work experience is required.

Technologies

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

Role Expectations

• Acts as an AI Native Engineer with a minimum of 3 years of experience building cloud-native solutions and deep expertise in designing and deploying agentic systems for enterprise environments.
• Applies critical thinking in ambiguous situations to deliver concrete outcomes by designing, building, and running custom AI agents that augment workflows.
• Supports the development of a playbook for enterprises adopting and scaling AI-native engineering globally.

The Work

• Embeds directly with clients as both a technologist and trusted advisor.
• Partners with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational within complex enterprise domains.
• Integrates agentic capabilities into new or existing platforms and systems, including stitching solutions together in clients’ environments alongside ecosystem partners.

Bonus Points (If Applicable)

• 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 combining cloud-native and generative model architectures, focused on performance, modularity, and efficiency.
• Delivered solutions across multiple industries, including tailoring agentic workflows for industry needs (for example, finance and healthcare).

Compensation and Location

• Location: Overland Park, KS (onsite)
• Salary Range: USD 122,700 - 302,400 per year

Benefits

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