Nagarro - Associate Distinguished Engineer - AI/ML in India, India is listed on Jobeax. Browse 30,000+ vacancies available.
Company Description :We're https://jobeax.com/link/N9GEDoXlWfmAeMTL are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and https://jobeax.com/link/nYD4vttn1jKjNxOY 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 https://jobeax.com/link/qfr6Z6bZfLEfcYRP is where you come in!Job Description :- 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 https://jobeax.com/link/uAkbBsfmz3mFu2Bv :- 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 https://jobeax.com/link/c21jIsX1adt6pb90 :- Bachelor's or master's degree in computer science, Information Technology, or a related field. (ref:hirist.tech)