3 days ago
Columbus, OH, USA +4 moreMid Level
Responsibilities
- Design and build enterprise-ready AI agents with retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
- Develop abstraction layers, shared libraries, SDKs, and reusable patterns across AI providers including Anthropic, Google, and OpenAI.
- Build and operate cloud-native systems using containers, microservices, serverless, event-driven architectures, infrastructure as code, and observability tools.
- Deploy agentic applications tailored to domain-specific workflows across industries such as finance, healthcare, and retail.
- Lead or participate in client design workshops, proof-of-concepts, code-with sessions, and technical delivery discussions.
- Define metrics and evaluation plans for agent accuracy, latency, safety, and cost effectiveness, then iterate based on data and feedback.
- Create documentation, best practices, and internal knowledge-sharing assets for AI-native and agentic engineering.
Requirements
- At least 3 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, or serverless architectures.
- At least 1 year of hands-on experience designing and deploying agentic solutions involving agents, orchestration, context engineering, retrieval-augmented generation, or workflows.
- At least 1 year of experience with modern AI platforms such as OpenAI, Claude, Vertex AI, or open-source models, including multi-provider abstraction layers.
- At least 3 years of strong Python, Java, or equivalent experience building 12-factor applications and using infrastructure as code with Terraform or Helm.
- At least 3 years of client-facing communication and collaboration experience, including leading technical discussions, workshops, or delivery sessions.
- Bachelor's degree in Computer Science, Engineering, or equivalent, or at least 12 years of work experience; candidates with an associate degree must have at least 6 years of work experience.
- Preferred qualifications include AI certifications, agentic tooling, enterprise AI engineering experience, multi-agent orchestration experience, GitHub projects, compound AI architecture experience, and delivery across multiple industries.
Benefits
- Medical, dental, vision, life, and long-term disability coverage.
- 401(k) plan, bonus opportunities, paid holidays, and paid time off.
- Hybrid work in Columbus, Ohio, generally requiring 3 days per week in the office; qualified applicants may also be considered in Tampa, Atlanta, Chesterbrook, Dallas, or Houston.
- Travel may range from 25% to 75% depending on business needs and client requirements.
- The posting is anticipated to remain open until December 28, 2026.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.