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Build and deploy production GenAI systems for enterprise clients in financial services and healthcare. Embed with customers to understand business functions, develop AI solutions using Claude and AWS, create evaluation suites, guide adoption from strategy through deployment, and improve reusable blueprints and delivery frameworks. The role requires hands-on software engineering, cloud-native delivery, presales communication, and autonomous ownership in ambiguous environments.

Build and deploy production GenAI and LLM systems for enterprise clients in financial services and healthcare. Embed with customers to understand operational needs, design AI solutions, own implementation from strategy through deployment, develop evaluation suites, and improve reusable industry blueprints. Advise senior stakeholders, contribute to pre-sales, and help shape AI delivery tooling and frameworks using Claude, AWS, Python, and TypeScript.

Build and deploy production generative AI and LLM systems for financial services and healthcare clients. Embed with client teams to understand business operations, design AI solutions, create evaluation suites, and deliver cloud-native systems on AWS. Lead engagements from strategy through deployment, contribute to AI tooling and blueprints, advise senior stakeholders, and support pre-sales. Work hands-on with Claude, Claude Code, Cowork, integrations, and production engineering practices.

Owns partner-sourced and self-sourced enterprise sales motions for AI consulting engagements. Responsibilities include prospecting, full-cycle sales, executive relationship building, Anthropic and AWS partner management, co-selling, joint pipeline development, partner events, proposal scoping, negotiations, and closing statement-of-work deals across Financial Services and Life Sciences.

Owns partner-sourced and self-generated enterprise sales for AI consulting engagements. Responsibilities include prospecting in Financial Services and Life Sciences, managing Anthropic and AWS partner relationships, qualifying leads, running discovery through contract close, developing joint pipelines, leading business reviews, supporting co-marketing, and collaborating with architects on consulting proposals. The role requires executive-level communication, full-cycle enterprise selling, partner ecosystem development, and up to 30% travel.

Build and deploy production GenAI systems, agentic workflows, retrieval pipelines, and evaluation harnesses for enterprise customers. Work directly in customer operations to understand and redesign business processes before automating them. Write production code across backend, data, and AI layers; deploy maintainable systems on AWS; drive adoption; and own outcomes tied to business KPIs. The role requires senior technical leadership, domain adaptability, stakeholder credibility, and hands-on engineering.

Drive partner-sourced and outbound enterprise business development across Financial Services and Life Sciences. Qualify leads, conduct discovery, scope AI consulting opportunities, manage proposals and signed SOWs, maintain partner pipelines, and build relationships with AWS and Anthropic field teams. Collaborate with architects and delivery leaders, support co-selling and partner programs, and develop an enterprise client network. The role offers a path toward full-cycle enterprise sales ownership.

Own partner-sourced and self-generated enterprise sales motions for AI consulting services. Manage Anthropic and AWS relationships, qualify leads, run full sales cycles, prospect within Financial Services and Life Sciences, close consulting engagements, maintain joint pipelines, lead co-sell planning, support partner certifications and marketing, and collaborate with delivery teams on proposals. Build executive relationships and provide market intelligence to leadership.

Own growth marketing for an AI systems integrator by translating engineering work into compelling stories, videos, demos, and written content. Manage and measure channels including LinkedIn, YouTube, and X; run experiments against pipeline outcomes; and build lightweight tools, dashboards, scrapers, and microsites. The role requires strong writing, genuine AI interest, working-level Python or TypeScript skills, and comfort using AI coding tools. Candidates may be early-career and must be in New York or San Francisco or willing to relocate.

Develop and execute growth marketing for enterprise AI systems by translating technical work into compelling stories, videos, demos, and case studies. Shape company positioning, own social and content channels, build marketing tools and agentic workflows, track pipeline impact, and run experiments. The role combines strategic marketing, business storytelling, content creation, coding, and AI research.