Associate Distinguished Engineer (Solution Architect - GenAI + RAG + Agentic AI)

<p><strong>Requirements</strong></p><ul><li>8+ years of experience in Solution Architecture, Technical Consulting, Pre-Sales Engineering, or related technology leadership roles.</li><li>Minimum 2+ years of hands-on experience delivering AI/ML or Generative AI solutions.</li><li>Strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, Prompt Engineering, and AI solution design.</li><li>Experience designing enterprise-scale AI, data, cloud, and integration architectures.</li><li>Hands-on experience with Azure AI Services, Azure OpenAI, AWS AI/ML, GCP AI, or equivalent cloud AI ecosystems.</li><li>Strong understanding of MLOps, data pipelines, API integrations, and modern AI application architectures.</li><li>Proven experience supporting RFPs, proposals, technical evaluations, solution estimations, and client presentations.</li><li>Demonstrated ability to build and present executive-level demos, prototypes, and proof-of-concept solutions.</li><li>Excellent communication, presentation, stakeholder management, and technical storytelling skills.</li><li>Experience interacting with senior leadership, executive stakeholders, and business decision-makers.</li><li>Strong analytical and problem-solving skills with the ability to evaluate technical and commercial trade-offs.</li><li>Ability to create technical content, thought leadership materials, and industry-focused solution narratives.</li><li>Experience working in cross-functional and matrixed environments involving sales, consulting, architecture, and delivery teams.</li><li>Exposure to Public Sector, Government, Education, Higher Education, or Non-Profit domains is preferred.</li><li>Familiarity with Microsoft, ServiceNow, and related enterprise technology ecosystems is highly desirable.</li><li>Demonstrated thought leadership through publications, conference speaking engagements, webinars, or industry contributions is a plus.</li></ul><p><strong>Responsibilities</strong></p><ul><li>Act as the technical lead for AI solutioning, partnering with pre-sales, solution consultants, and planning teams across the deal lifecycle.</li><li>Design scalable AI/ML and GenAI solution architectures for proposals, RFPs, client questionnaires, and competitive bids.</li><li>Translate business challenges into technically sound, commercially viable, and value-driven AI solutions.</li><li>Lead technical discovery workshops, solution walkthroughs, whiteboarding sessions, and stakeholder discussions.</li><li>Build and deliver compelling demos, prototypes, and proof-of-concept solutions to support client engagements and proposal pursuits.</li><li>Support effort estimation, solution sizing, technical feasibility assessments, and risk analysis during sales cycles.</li><li>Serve as the subject matter expert for AI/ML, GenAI, data architecture, and emerging AI technologies.</li><li>Develop thought leadership content including whitepapers, blogs, technical articles, and industry point-of-view documents.</li><li>Represent the organization in webinars, conferences, industry forums, and executive client briefings.</li><li>Track emerging trends across AI, Generative AI, cloud ecosystems, and intelligent automation platforms and translate them into actionable recommendations.</li><li>Mentor solution consultants and pre-sales teams on AI solution positioning, architecture best practices, and technical storytelling.</li><li>Create reusable AI accelerators, reference architectures, frameworks, and demo assets to improve proposal quality and reduce solutioning effort.</li><li>Define and maintain a roadmap for AI accelerators and innovation assets aligned with business priorities and market demand.</li><li>Ensure all reusable assets are documented, scalable, maintainable, and available for broader organizational adoption.</li><li>Collaborate with architecture, design, engineering, and business teams to convert successful concepts into enterprise-grade reusable solutions.</li></ul>