1 day ago
Boston, MA, USA +30 moreMid Level
Base Salary
$54k - $235k/yr
Responsibilities
- Design and build enterprise-ready AI agents with retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
- Implement resilient, testable, and maintainable agentic workflows and iterate based on data, feedback, and changing requirements.
- Develop abstraction layers across Anthropic, Google, OpenAI, and other AI providers, and contribute to reusable libraries, SDKs, and engineering patterns.
- Use Kubernetes, Docker, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems.
- Own deployment, monitoring, troubleshooting, and production operation of services.
- Tailor and deploy agentic applications to finance, healthcare, retail, and other industry workflows.
- Partner with client stakeholders and subject-matter experts through design workshops, proofs of concept, and code-with sessions.
- Define metrics, testing harnesses, and evaluation plans for agent accuracy, latency, safety, and cost effectiveness.
- Create reusable documentation and best practices and contribute to internal AI-native and agentic engineering communities.
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 in production or near-production environments.
- 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 and Helm.
- At least 3 years of client-facing communication and collaboration experience, including leading technical discussions, workshops, or delivery sessions under ambiguity.
- Bachelor’s degree in Computer Science, Engineering, or equivalent, or equivalent work experience; an associate degree requires at least 6 years of work experience.
- Preferred qualifications include relevant AI certifications, agentic tooling experience, 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.
- Travel may be required at approximately 25% to 75% depending on business need and client requirements.
- The posting is anticipated to remain open until 06/23/2026.
Tech Stack
Categories
Solutions Engineering
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.