AI Engineer - FDE Software Engineering Sr. Manager

Accenture; Overland Park (KS); On-site; USD 123,000 - 302,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is hiring an AI Engineer to embed with enterprise clients as a technologist and trusted advisor, focusing on defining, prototyping, and deploying secure, operational agentic workflows across architectures and platforms. You will design, prototype, and deploy agentic solutions, integrate AI providers, and build scalable, cloud-native systems.

This role requires deep experience in software engineering, AI platforms, and hands-on delivery with clients onsite in Overland Park.

Qualifications

• 10+ years in end-to-end software engineering with SDLC expertise.
• 8+ years in Python/Java and production deployment with CI/CD and IaC (Terraform, Helm).
• 3+ years with cloud-native systems and AI platforms like OpenAI, Claude.
• 2+ years designing agentic AI solutions and 1.5 years with semantic models/knowledge graphs.

Responsibilities

• Design and engineer enterprise-ready AI agents with retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Develop abstraction layers across AI providers to support seamless integration and enablement.
• Build scalable AI-native systems using Kubernetes, Docker, microservices, serverless, CI/CD, and observability.
• Tailor and deploy agentic applications across verticals addressing domain-specific processes through intelligent automation.
• Run design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders.

Skills

Python

Java

Agentic AI

Cloud-native systems

Evaluation tooling

Logging & monitoring

OpenAI

Claude

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Docker

CI/CD

Terraform

Helm

RAG

Job description

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