Full Stack Forward Deployed Engineer - Reinvention Center

Responsibilities

• Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability
• AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement
• Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems
• Domain-Specific Workflows: Tailor and deploy agentic applications across verticals — e.g., finance, healthcare, retail — addressing domain-specific processes via intelligent automation
• Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption
• Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness
• Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps

Benefits

• Medical, dental, vision, life, and long-term disability coverage
• A 401(k) plan
• Bonus opportunities
• Paid holidays
• Paid time off
• Hybrid role in Columbus, OH, with 3 days per week in the office
• Support for employees’ physical, mental, and financial health
• Opportunities to keep skills relevant through certifications, learning, and diverse work experiences
• Glassdoor
• 3.9
• Accenture is a professional services company that provides solutions in strategy, consulting, digital, technology and operations.
• Dublin, Dublin, IRL
• https://www.accenture.com
• Public Company
• Total Funding
• $5.01B
• Key Investors
• Youth Business International
• 2026-07-08
• Post Ipo Debt· $5B
• 2018-10-01
• Grant· $6M
• 2001-07-27
• IPO
• Recent News
• Cision PR Newswire
• Cohesity Announces FY2026 Partner Award Winners
• 2026-10-21
• Security Week
• Accenture, Dragos, SANS Launch $10M Initiative to Defend Small US Utilities

Qualifications

• An AI Native Engineer with experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments
• You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure
• Minimum of 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless)
• Minimum of 3 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability
• Minimum of 3 years experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging
• Minimum of 3 years experience with client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity
• Minimum of 2 years experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines
• Minimum of 1 year expertise in 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 Associate Degree, must have minimum 6 years work experience)
• Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States
• Minimum of 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 3 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Minimum of 3 years experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• Minimum of 3 years experience with client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity.
• Minimum of 2 years experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
• Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.

Required skills

• Agent Orchestration, CI/CD, Claude, Client Communication, Context Engineering, Docker, Helm, Java, Kubernetes, Microservices, OpenAI, Python, Retrieval-Augmented Generation (RAG), Serverless, Technical Workshop Facilitation, Terraform, Vertex AI

Experience

• 6+ years