Guidehouse
Data Science & Analysis
TeamLead/SeniorAIEngineer–AIStudio
Neural analysis suggests this role is
optimal for Senior candidates.
“Team Lead / Senior AI Engineer – AI Studio at Guidehouse. Skills: AI/GenAI, Team Leadership, End-to-end Delivery, Python/Java, Front-end Frameworks, CI/CD, LLM Integrations, RAG Pipelines. Own end-to-end engineering delivery of a single AI use-case from prototype to production. Lead a team of 4–5 engineers with clear task allocation and delivery ownership”
What You'll Achieve.
hands-on delivery of individual AI use-cases from prototype through production; rapid execution; high-quality code; reliable deployment; MVP delivery timelines
Industry & Context.
Ability to decompose complex problems into executable tasks; resolve technical issues
Travel Required: None, Clearance Required: None
What They're Looking For.
Must Have
5–8 years of experience in software engineering with AI/GenAI exposure, Experience leading engineering teams in fast-paced delivery environments, front-end skills in React, Angular, or Vue. js, backend expertise in Python or Java with API and microservices experience, Hands-on experience with LLM integrations, RAG pipelines, and prompt engineering, Minimum 2 years of experience with Azure AI, AWS AI, or Google Vertex AI, Experience with CI/CD and automated deployments, understanding of version control and PR workflows, Ability to decompose complex problems into executable tasks, Experience working and leading development in Agile teams, Understanding of enterprise security and data privacy practices
Nice to Have
Experience in rapid prototyping and MVP-driven delivery, Exposure to multi-agent systems or advanced GenAI architectures, Familiarity with vector databases and retrieval optimization, Experience with GenAI evaluation frameworks, Experience working with global teams and stakeholders
What You'll Do.
Own end-to-end engineering delivery of a single AI use-case from prototype to production
Lead a team of 4–5 engineers with clear task allocation and delivery ownership
Actively contribute to development across front-end
and AI integration layers
Translate architecture into detailed engineering tasks and sprint plans
Review and approve PRs while enforcing coding standards
Build GenAI components including RAG pipelines
Develop front-end interfaces using React
or Vue. js as well as the backend services using Python or Java
Own CI/CD pipelines and deployment across Dev
and performance optimization
Drive rapid prototyping and MVP delivery timelines
How You'll Work.
Team & Collaboration
Partnering closely with the AI Solution Architect; Collaborate closely with AI Solution Architect on design fidelity and execution; Consult AI Solution Architect in matters of security, privacy, and compliance adherence, timelines, complexities and resolve technical issues; Experience working and leading development in Agile teams
Process & Methodology
task allocation, delivery ownership, detailed engineering tasks, sprint plans, rapid prototyping, MVP delivery timelines, Agile team leadership
Full Job Description
**_Job Family_ :** Data Science & Analysis (India) **_Travel Required_ :** None ** _Clearance Required_ :** None **Summary** AI Studio India is seeking a Team Lead / Senior AI Engineer to own the hands-on delivery of individual AI use-cases from prototype through production. This role combines technical leadership with active development, ensuring rapid execution, high-quality code, and reliable deployment while partnering closely with the AI Solution Architect. **What You Will Do** * Own end-to-end engineering delivery of a single AI use-case from prototype to production * Lead a team of 4–5 engineers with clear task allocation and delivery ownership * Actively contribute to development across front-end, back-end, and AI integration layers * Translate architecture into detailed engineering tasks and sprint plans * Review and approve PRs while enforcing coding standards * Collaborate closely with AI Solution Architect on design fidelity and execution * Build GenAI components including RAG pipelines, APIs, and agent workflows * Develop front-end interfaces using React, Angular, or Vue.js as well as the backend services using Python or Java * Own CI/CD pipelines and deployment across Dev, UAT, and Production * Ensure logging, monitoring, and performance optimization * Drive rapid prototyping and MVP delivery timelines * Consult AI Solution Architect in matters of security, privacy, and compliance adherence, timelines, complexities and resolve technical issues **What You Will Need** * 5–8 years of experience in software engineering with AI/GenAI exposure * Experience leading engineering teams in fast-paced delivery environments * Strong front-end skills in React, Angular, or Vue.js and backend expertise in Python or Java with API and microservices experience * Hands-on experience with LLM integrations, RAG pipelines, and prompt engineering * Minimum 2 years of experience with Azure AI, AWS AI, or Google Vertex AI * Experience with CI/CD and automated deployments * Fami
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