About the Role
Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for your business. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialized skills and tailored solutions.
We are seeking a highly qualified professional to join our team as a Senior AI Platform Engineer. As an essential part of our team, you will be responsible for designing, building, and scaling an AI-driven engineering platform that improves developer productivity across the end-to-end Software Development Lifecycle (SDLC).
Responsibilities
•Design and implement agentic development workflows, tools, and automation across the SDLC
•Develop and integrate production-ready AI Agents using orchestration, tool use, MCP, and context engineering
•Build evaluation frameworks, guardrails, automated quality checks, and monitoring mechanisms to ensure reliable agent behavior
•Design and optimize CI/CD pipelines, infrastructure automation, and developer tooling
•Integrate AI-powered workflows with enterprise engineering platforms, including Jira, source control systems, and CI/CD platforms
•Build scalable platform capabilities that enable engineering teams to safely adopt AI-assisted development
•Improve developer experience, engineering productivity, reliability, and software delivery efficiency
•Develop reusable components, APIs, CLIs, and workflow automation for AI-enabled engineering processes
•Implement observability and operational controls for production AI agents
•Evaluate emerging agentic AI technologies and determine their suitability for enterprise production environments
•Collaborate with Software Engineering, Platform, DevOps, Architecture, and Product teams on technical decisions
•Act as a technical reference for agentic engineering and contribute to platform architecture decisions
•Identify bottlenecks across the SDLC and implement automation that delivers measurable productivity improvements
Requirements
•Minimum of 8 years of professional Software Engineering experience, including senior or technical leadership responsibilities
•Proven hands-on experience designing, building, and deploying AI Agents in real-world production environments
•Strong experience with agent orchestration, tool use, context engineering, MCP servers, and agent evaluation
•Proficiency in Python and TypeScript
•Strong background in Platform Engineering, DevOps, and CI/CD
•Experience with cloud infrastructure, preferably GCP or equivalent platforms such as Azure or AWS
•Hands-on experience with Infrastructure as Code, particularly Terraform or equivalent technologies
•Experience developing internal developer platforms, CLIs, workflow engines, or engineering automation solutions
•Strong understanding of the end-to-end SDLC, including requirements, design, development, testing, deployment, and production operations
•Hands-on experience using agentic coding tools as part of day-to-day software engineering
•Strong problem-solving skills and ability to independently evaluate technical alternatives and drive implementation
•Ability to take ownership of complex technical challenges with minimal supervision
•Excellent communication and cross-functional collaboration skills
•English proficiency at C1 level or higher
Nice to Have
•Experience with AI development tools such as Cursor, Claude Code, or similar agentic coding solutions
•Knowledge of Knowledge Graphs and their application to software engineering contexts
•Experience with static analysis, code intelligence, or program analysis tooling
Conditions
•Hybrid work format
