AI Native Engineer - Reinvention Center

The Work You’ll embed directly with clients—acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely new platforms and systems that need to be stitched together in our clients’ environments alongside our Ecosystem partners. Responsibilities Design and engineer enterprise‑ready AI agents encompassing retrieval, orchestration, policy‑based routing, tool invocation, evaluation harnesses, and lifecycle observability. Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and enablement. Leverage containerization (Kubernetes, Docker), microservices, serverless, event‑driven architectures, CI/CD, and observability to deliver scalable AI‑native systems. Tailor and deploy agentic applications across verticals—finance, healthcare, retail—addressing domain‑specific processes via intelligent automation. Conduct design workshops, POCs, and code‑with sessions to shape data‑driven agent workflows with stakeholders, fostering trust and adoption. Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness. Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps. Location & Travel Hybrid role in Columbus, OH with 3 days per week in the office. Qualified applicants in Tampa, FL; Atlanta, GA; Dallas, TX; Scottsdale, AZ may also be considered. Travel may be required, varying from 25% to 75% depending on business needs. Qualifications Minimum 3 years engineering experience with cloud‑native systems (APIs, microservices, containerization, serverless). Minimum 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. Minimum 2 years experience with AI platforms—OpenAI, Claude, Vertex AI, plus open‑source models—building abstraction layers to manage multi‑provider pipelines. Minimum 3 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability. Minimum 3 years experience deploying to production—CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging. Minimum 3 years experience with client communication and collaboration, including leading technical workshops and delivering under ambiguity. Bachelor’s degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience). Benefits Accenture offers a competitive suite of benefits including medical, dental, vision, life, long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Accenture is an EEO and affirmative action employer of veterans and individuals with disabilities. Accommodation Request Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. #J-18808-Ljbffr