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Associate Distinguished Engineer (Solution Architect - GenAI + RAG + Agentic AI)
Nagarro
Remote, IND
Full-time
Remote
Discovered 1 weeks ago
Solution architectureGenerative AILarge Language ModelsRetrieval-Augmented GenerationAgentic AI workflowsPrompt engineering
Free
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Solution architectureGenerative AILarge Language Models
Key Skills for This Role
Solution architectureGenerative AILarge Language ModelsRetrieval-Augmented GenerationAgentic AI workflowsPrompt engineering
Full Job Posting
Requirements
- 8+ years in solution architecture, technical consulting, pre-sales engineering, or related technology leadership roles.
- At least 2 years of hands-on experience delivering AI/ML or Generative AI solutions.
- Expertise in LLMs, RAG, Agentic AI workflows, prompt engineering, and AI solution design.
- Experience designing enterprise-scale AI, data, cloud, and integration architectures.
- Experience with Azure AI Services, Azure OpenAI, AWS AI/ML, GCP AI, or equivalent cloud AI ecosystems.
- Understanding of MLOps, data pipelines, API integrations, and modern AI application architectures.
- Experience supporting RFPs, proposals, technical evaluations, solution estimations, and client presentations.
- Ability to build and present executive-level demos, prototypes, and proof-of-concept solutions.
- Excellent communication, presentation, stakeholder management, and technical storytelling skills.
- Experience with senior leadership, executive stakeholders, and business decision-makers.
- Bachelor’s or master’s degree in computer science, information technology, or a related field.
- Public sector, government, education, higher education, or nonprofit exposure is preferred; Microsoft and ServiceNow familiarity is desirable.
Responsibilities
- Lead AI solutioning with pre-sales, solution consultants, and planning teams across the deal lifecycle.
- Design scalable AI/ML and GenAI architectures for proposals, RFPs, client questionnaires, and competitive bids.
- Translate business challenges into technically sound, commercially viable, value-driven AI solutions.
- Lead discovery workshops, solution walkthroughs, whiteboarding sessions, and stakeholder discussions.
- Build and deliver demos, prototypes, and proof-of-concept solutions for client engagements and proposals.
- Support effort estimation, solution sizing, technical feasibility assessments, and risk analysis during sales cycles.
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