Senior AI Engineer - AI Prototyping Lab

Responsibilities

• AI Innovation & Prototyping
• Drive the design, development, and evolution of the AI Prototyping Lab, enabling engineers, business teams, and innovators to rapidly experiment with emerging AI technologies in a secure, scalable, and enterprise-ready environment.
• Lead the creation of prototypes, proof-of-concepts, and pilot solutions that validate business opportunities and accelerate innovation.
• Evaluate emerging AI technologies, frameworks, development patterns, and tooling ecosystems to identify opportunities that improve productivity, innovation, and business outcomes.
• Transform innovative concepts into reusable platform capabilities, accelerators, and scalable enterprise solutions.
• Promote AI-native development practices and experimentation-driven engineering approaches across the organization.
• Agentic AI Engineering
• Design and build Agentic AI solutions that leverage Large Language Models, enterprise systems, APIs, tools, and knowledge sources to solve complex business challenges.
• Develop AI Agents, multi-agent workflows, MCP-enabled integrations, orchestration patterns, reasoning frameworks, memory strategies, and AI-assisted automation capabilities.
• Establish reusable agent engineering patterns, frameworks, and platform services that accelerate the adoption of Agentic AI across the organization.
• Drive best practices for AI governance, observability, security, scalability, and responsible AI implementation.
• Collaborate with engineering teams to build scalable and maintainable enterprise-grade AI solutions.
• Full-Stack Engineering & Platform Development
• Design and develop modern cloud-native applications across frontend, backend, integration, and platform layers.
• Build scalable APIs, microservices, reusable services, developer tooling, SDKs, and self-service capabilities that improve developer productivity and platform adoption.
• Deliver intuitive user experiences that simplify the development and consumption of AI-powered capabilities.
• Implement secure, resilient, and maintainable architectures aligned with enterprise standards and engineering best practices.
• Contribute hands-on across the full technology stack, from user interfaces to platform services and integrations.
• Product Ownership Support & Strategic Collaboration
• Partner closely with Product Owners and Product Managers to shape the vision, roadmap, and strategic direction of the AI Prototyping Lab.
• Contribute technical expertise during product discovery activities, helping evaluate opportunities, validate assumptions, and identify innovative AI-driven solutions.
• Support backlog refinement, feature prioritization, roadmap planning, and release discussions by balancing business value, technical feasibility, user experience, and operational considerations.
• Act as a trusted technical advisor during product decision-making and help define scalable implementation approaches for new platform capabilities.
• Collaborate with stakeholders across engineering, architecture, security, and business teams to ensure platform investments deliver measurable business outcomes.
• Platform Growth & Continuous Improvement
• Drive platform adoption through improved onboarding experiences, developer enablement initiatives, reusable templates, and self-service capabilities.
• Establish continuous feedback loops with users and stakeholders to refine platform capabilities, priorities, and adoption strategies.
• Champion engineering excellence, automation, knowledge sharing, and continuous learning within the team.
• Foster a culture of experimentation, innovation, collaboration, and rapid learning.
• What You Bring

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related discipline.
• 8+ years of experience in software engineering, platform engineering, enterprise application development, or AI engineering.
• Demonstrated experience delivering complex technical solutions within cloud-native and enterprise technology environments.
• Strong passion for innovation, emerging technologies, and practical application of AI to solve business challenges.
• Functional Expertise
• Strong understanding of enterprise AI adoption patterns and how AI can be leveraged to improve business processes, developer productivity, and user experiences.
• Proven ability to collaborate effectively with Product Owners, Product Managers, Architects, Engineers, and Business Stakeholders.
• Experience translating business opportunities into scalable technical solutions that deliver measurable outcomes.
• Ability to balance innovation, technical feasibility, governance requirements, user experience, and operational excellence when designing solutions.
• Strong communication and stakeholder engagement skills with the ability to influence both technical and non-technical audiences.
• Technical Expertise
• Strong Full-Stack Development experience across frontend, backend

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Company Intel

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