Nagarro

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

India · On-site · Full-time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerNagarro
LocationIndia
Work styleOn-site
Employment typeFull-time
Employer posted1 day ago

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.

Show full description

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.

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

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.