1 day ago
Boston, MA, USA +36 moreStaff+
Base Salary
$80k - $316k/yr
Responsibilities
- Design and build production systems across front end, APIs, backend services, integrations, data, infrastructure, and AI components.
- Design and deploy cloud-native workloads using containers, Kubernetes, serverless services, managed cloud services, and infrastructure as code.
- Build CI/CD and production engineering workflows with automated testing, security scanning, policy enforcement, observability, release controls, and incident response.
- Design transactional, streaming, analytical, and unstructured data flows and the retrieval, embedding, metadata, knowledge, and context architecture for AI systems.
- Build production AI and agentic systems using enterprise models, tools, memory, planning, human intervention, evaluation frameworks, observability, and safeguards.
- Lead multidisciplinary engineering teams, set technical direction, conduct client-facing architecture sessions, and communicate recommendations to technical and executive audiences.
- Create reusable engineering patterns, tooling, automation, and standards from delivery and production experience.
Requirements
- At least 5 years of professional software engineering experience building and operating production systems.
- At least 5 years of hands-on experience across multiple stack layers, including front end or APIs, services, integration, persistence, and asynchronous processing.
- At least 5 years of programming experience in Java, Python, Go, TypeScript/JavaScript, C#, or another major language.
- At least 5 years of production experience with AWS, Azure, or GCP, including Docker, Kubernetes, and Terraform, Helm, or equivalent infrastructure-as-code tooling.
- At least 5 years of experience designing and operating CI/CD pipelines through production with automated testing and integrated security controls.
- At least 1 year of experience designing, building, and deploying AI-enabled or agentic systems in production or near-production environments.
- At least 1 year of experience applying AI-native engineering tools and workflows to software development, including code generation, testing, debugging, modernization, and documentation.
- At least 5 years of experience leading engineering teams or significant technical workstreams and leading client-facing technical discussions 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 LangGraph, Crew AI, Claude Agent SDK, OpenAI SDK, public AI repositories or open-source contributions, multi-provider model abstraction, enterprise AI architectures, relevant cloud/security/AI certifications, multi-industry delivery, legacy modernization, and concurrent workstream leadership.
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, ranging from 25% to 75% based on business and client needs.
- The posting is expected to remain open until 11/17/2026.
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.