Associate Distinguished Engineer (Solution Architect - GenAI + RAG + Agentic AI, Cloud, data architecture, Integration Architecture)

Nagarro

Indiana, United States6d ago

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Key details

Location
Indiana, United States
Work style
Remote
Level
Lead / Staff+
Job type
Full-time
Experience
8–11 yrs
Function
Data & ML
Focus area
AI / ML
Posted
6d ago

Skills

agentic aiai/mlapi integrationsawsazuredata architecturedata pipelinesgcpgenerative aillmmlopsopenaiprompt engineeringprototypingragretrieval-augmented generationrisk analysisservicenowsoftware architecturesolution architecturestakeholder management

About the role

Job Description

Requirements

  • 8+ years of experience in Solution Architecture, Technical Consulting, Pre-Sales Engineering, or related technology leadership roles.
  • Minimum 2+ years of hands-on experience delivering AI/ML or Generative AI solutions.
  • Strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, Prompt Engineering, and AI solution design.
  • Experience designing enterprise-scale AI, data, cloud, and integration architectures.
  • Hands-on experience with Azure AI Services, Azure OpenAI, AWS AI/ML, GCP AI, or equivalent cloud AI ecosystems.
  • Strong understanding of MLOps, data pipelines, API integrations, and modern AI application architectures.
  • Proven experience supporting RFPs, proposals, technical evaluations, solution estimations, and client presentations.
  • Demonstrated ability to build and present executive-level demos, prototypes, and proof-of-concept solutions.
  • Excellent communication, presentation, stakeholder management, and technical storytelling skills.
  • Experience interacting with senior leadership, executive stakeholders, and business decision-makers.
  • Strong analytical and problem-solving skills with the ability to evaluate technical and commercial trade-offs.
  • Ability to create technical content, thought leadership materials, and industry-focused solution narratives.
  • Experience working in cross-functional and matrixed environments involving sales, consulting, architecture, and delivery teams.
  • Exposure to Public Sector, Government, Education, Higher Education, or Non-Profit domains is preferred.
  • Familiarity with Microsoft, ServiceNow, and related enterprise technology ecosystems is highly desirable.
  • Demonstrated thought leadership through publications, conference speaking engagements, webinars, or industry contributions is a plus.

Responsibilities

  • Act as the technical lead for AI solutioning, partnering with pre-sales, solution consultants, and planning teams across the deal lifecycle.
  • Design scalable AI/ML and GenAI solution architectures for proposals, RFPs, client questionnaires, and competitive bids.
  • Translate business challenges into technically sound, commercially viable, and value-driven AI solutions.
  • Lead technical discovery workshops, solution walkthroughs, whiteboarding sessions, and stakeholder discussions.
  • Build and deliver compelling demos, prototypes, and proof-of-concept solutions to support client engagements and proposal pursuits.
  • Support effort estimation, solution sizing, technical feasibility assessments, and risk analysis during sales cycles.
  • Serve as the subject matter expert for AI/ML, GenAI, data architecture, and emerging AI technologies.
  • Develop thought leadership content including whitepapers, blogs, technical articles, and industry point-of-view documents.
  • Represent the organization in webinars, conferences, industry forums, and executive client briefings.
  • Track emerging trends across AI, Generative AI, cloud ecosystems, and intelligent automation platforms and translate them into actionable recommendations.
  • Mentor solution consultants and pre-sales teams on AI solution positioning, architecture best practices, and technical storytelling.
  • Create reusable AI accelerators, reference architectures, frameworks, and demo assets to improve proposal quality and reduce solutioning effort.
  • Define and maintain a roadmap for AI accelerators and innovation assets aligned with business priorities and market demand.
  • Ensure all reusable assets are documented, scalable, maintainable, and available for broader organizational adoption.
  • Collaborate with architecture, design, engineering, and business teams to convert successful concepts into enterprise-grade reusable solutions.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Company Description

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

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