1 day ago
Boston, MA, USA +36 moreStaff+
Base Salary
$113k - $302k/yr
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 Anthropic, Google, OpenAI, Claude, and other AI providers for multi-provider pipelines.
- Build scalable cloud-native systems using containerization, microservices, serverless, event-driven architectures, infrastructure as code, monitoring, and debugging.
- Tailor and deploy agentic workflows for finance, healthcare, retail, and other industry-specific processes.
- Lead client design workshops, proofs of concept, code-with sessions, and technical stakeholder engagements.
- Define metrics, test harnesses, and evaluation plans for agent accuracy, latency, safety, and cost effectiveness.
- Create reusable patterns, documentation, and best practices for internal assets and client roadmaps.
Requirements
- Minimum 10 years of end-to-end software engineering and software development lifecycle experience.
- Minimum 8 years programming in Python, Java, or equivalent, including evaluation tooling, logging, monitoring, and agent observability.
- Minimum 8 years deploying production systems with CI/CD, Terraform, Helm, monitoring, and debugging.
- Minimum 8 years of client communication and collaboration, including leading technical workshops and delivering under ambiguity.
- Minimum 3 years engineering cloud-native systems involving APIs, microservices, containerization, and serverless architectures.
- Minimum 3 years working with AI platforms including OpenAI, Claude, and open-source models, including multi-provider abstraction layers.
- Minimum 2 years of hands-on experience designing and delivering Agentic AI solutions.
- Minimum 1.5 years working with semantic models, ontologies, knowledge graphs, or enterprise knowledge, and using coding agents and AI-assisted software development.
- Minimum 1 year designing and deploying production agentic solutions involving agents, orchestration, context engineering, RAG, and workflows.
- Bachelor's degree or equivalent minimum 12 years of work experience; an associate degree requires at least 6 years of work experience.
- Preferred qualifications include enterprise Agentic AI engineering, AI certifications, agentic tools, compound AI architectures, orchestration frameworks, agent registries, stream-based architectures, and experience across multiple industries.
Benefits
- Medical, dental, vision, life, and long-term disability coverage.
- 401(k) plan, bonus opportunities, paid holidays, and paid time off.
- Travel may range from 0% to 100% based on business needs and client requirements.
- The posting is anticipated to remain open until 11/30/2026.
Tech Stack
Categories
Forward Deployed
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.