Senior Forward Deployed Engineer (GenAI, AWS)
Embed with enterprise clients to understand their operations, then build and deploy production GenAI systems on AWS, owning delivery from problem framing through evaluation and adoption.
Embed with enterprise clients to understand their operations, then build and deploy production GenAI systems on AWS, owning delivery from problem framing through evaluation and adoption.
Own full-cycle technical recruiting across AI engineering, product, and go-to-market roles while building the US talent community and supporting people operations for the growing US team.
Tell the technical and business impact stories behind enterprise AI systems, shape the companyβs positioning, build AI-powered marketing tools, and own channels and experiments from creation through measurement.
Build and integrate generative AI systems, including RAG components, backend services, and evaluation tools, while supporting AWS deployments and growing toward independent technical ownership.
Qualify partner-referred enterprise leads, lead discovery with financial services and life sciences buyers, scope AI consulting engagements with architects, and manage negotiations through signed statements of work.
Convert partner-referred enterprise leads into signed AI consulting engagements by qualifying opportunities, leading buyer discovery, scoping proposals with architects, and managing negotiations through close.
Own the full sales cycle for enterprise AI consulting engagements, from qualifying partner-referred leads and discovering buyer needs to scoping proposals with architects, negotiating, and closing signed SOWs.
Own the full sales cycle for enterprise AI consulting engagements, from qualifying partner-referred leads and buyer discovery to scoping proposals, negotiating terms, and closing signed statements of work.
Own the full sales cycle for enterprise AI consulting engagements, from qualifying partner-referred leads and discovering client needs to scoping proposals, negotiating terms, and closing signed SOWs.
Build and ship production AI systems embedded in enterprise teams, owning work from understanding business operations and framing problems through implementation, evaluation, and deployment.
Build and ship production GenAI and agentic systems for enterprise customers, owning evaluation, observability, guardrails, and technical decisions across AI, backend services, and cloud infrastructure.
Build and ship production GenAI and agentic systems for enterprise customers, owning evaluation, observability, guardrails, and technical decisions across AI, backend services, and cloud infrastructure.
Own client-facing architecture and delivery of production AI systems, translating business workflows into measurable outcomes through agentic applications, RAG, evaluation, and cloud-native engineering.
Own client-facing delivery of production AI systems, from workflow discovery and architecture through implementation, evaluation, deployment, and handover, while shaping technical proposals and improving reusable industry blueprints.
Leads and develops the alliances function, growing Anthropic and AWS partnerships through funded activation programs, co-sell motions, executive relationships, and measurable partner-sourced pipeline.
Lead and grow strategic Anthropic and AWS alliances by building partner programs, managing co-sell and funding motions, developing a team, and turning ecosystem partnerships into measurable pipeline.
Develop new business for AI consulting and technology services by sourcing and qualifying prospects, managing a multi-vertical pipeline, and partnering with leadership to close opportunities.
Develop and close new business for AI consulting and technology services by sourcing prospects, building a multi-vertical pipeline, qualifying opportunities, and partnering with leadership on deals.
Own partner-sourced and self-generated enterprise sales, converting leads and building pipeline for AI consulting engagements across Financial Services and Life Sciences while growing Anthropic and AWS partnerships.
Own partner-sourced and self-generated enterprise sales, converting Anthropic leads and building pipeline for AI consulting engagements across Financial Services and Life Sciences.
Embed with enterprise clients to understand operational workflows, architect and ship production GenAI systems on AWS, and own delivery from problem framing through evaluation and deployment.
Embed with enterprise customers to understand their operations, then design and ship production GenAI systems on AWS, owning delivery from problem framing through deployment and evaluation.
Own hands-on delivery of production AI systems for enterprise clients, from understanding business operations and shaping solutions to deployment, evaluation, and improving reusable delivery frameworks.
Embed with enterprise customers to understand operational workflows, then design, build, evaluate, and deploy production GenAI systems on AWS while shaping reusable delivery frameworks.
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