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). We are looking for a highly autonomous professional with strong expertise in production-grade AI Agents, Platform Engineering, DevOps, and modern software engineering practices.
Qualifications
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
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
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
Location: Lisbon, Braga, or Coimbra
Working Model: Hybrid
Legal: Must own a valid work permit or EU/Schengen Space Nationality to legally work in Portugal.
Seniority: Senior
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
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Summary
Design, build, and scale an AI-driven engineering platform with production-grade AI agents to improve productivity across the end-to-end SDLC. Requires minimum 8 years software engineering experience with senior leadership, hands-on production AI agents, Python and TypeScript, plus English at C1 level.
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, quality checks, and monitoring; Design and optimize CI/CD pipelines, infrastructure automation, and developer tooling
Qualifications
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 production; 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; English proficiency at C1 level or higher
Experience 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; Proficiency in Python and TypeScript