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LatentView Analytics

Solutions Architect

LatentView Analytics, San Jose, California, United States, 95199

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Overview

Were hiring a forward-thinking Solution Architect & GenAI TPM to lead innovation and delivery across our GenAI portfolio, with added ownership of building GTM strategies for bringing solutions to market. This is a unique hybrid role where technical depth meets business leadership. You will design production-grade GenAI solutions (especially with Googles Gemini models), lead cross-functional delivery teams, and co-develop commercialization strategies to scale impact across client engagements and new markets. Base pay range

$160,000.00/yr - $170,000.00/yr Responsibilities Solution Architecture & Deployment Architect scalable GenAI/LLM-based systems using Google Cloud, Gemini APIs, LangChain, Pinecone, and more. Define system blueprints for RAG pipelines, embedding layers, vector search, and inference services. Own design reviews, security, compliance, and performance optimization for production environments. GenAI Product Leadership Own product strategy and roadmap from PoC to scaled deployment across enterprise-grade solutions. Work closely with design, engineering, and prompt teams to craft user-centric LLM experiences. Define success metrics, collect feedback, and iterate solutions across sprints. Technical Program Management Lead delivery squads of ML engineers, software developers, data scientists, and prompt engineers. Drive Agile planning, sprint management, and dependency tracking across GenAI programs. Manage stakeholder communication, timelines, budgets, and program risk mitigation. Business Development & GTM Strategy Collaborate with Client Partners and Business Development leads to identify high-impact GenAI use cases. Develop and refine GTM plans, pricing models, solution accelerators, and sales enablement content. Represent the company in client pitches, conferences, and industry thought leadership forums. Translate technical innovations into marketable offerings, use-case libraries, and scalable solutions frameworks.

Must-Have

10+ years in technical roles (e.g., solution architecture, ML/AI engineering, or software product leadership). 3+ years leading GenAI/LLM programs with exposure to Google Gemini, PaLM, or OpenAI ecosystems. Hands-on experience with GCP/Vertex AI, LangChain, vector DBs (e.g., Pinecone, FAISS), and orchestration frameworks. Demonstrated success managing GenAI delivery teams and client-facing solutions. Strong business acumen with experience crafting solution GTM plans or partner-ready offerings.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering, Information Technology, and Product Management

Industries

Business Consulting and Services, IT Services and IT Consulting, and Strategic Management Services

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