About this opportunity
Accenture lists this AI Engineer - FDE Software Engineering Sr. Manager opportunity in overland park, Kansas. Review the employer’s description below for duties, qualifications and application requirements.
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
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Worksite address
overland park, KS, 66213, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.