VP, Forward Deployed AI Engineering
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Job Location:
New York City, NY - USA
Monthly Salary:
$ 190000 - 240000
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
BGB Group
Our Agency
BGB Group is a healthcare communications agency that offers a wide range of services including traditional pharmaceutical advertising promotional medical education payer marketing and consulting services. Known for excellence and professionalism were hired as strategic and creative partners by our biopharmaceutical clients to drive category/brand awareness and growth.
VP Forward Deployed AI Engineering (Hands-On AI Transformation)
Position Overview
Were hiring a hands-on Forward Deployed AI Engineering leader who can deploy AI automation and agentic systems in real workflows quickly and reliably. Youll work across internal teams and client-facing programs to prototype integrate and operationalize AI capabilities (LLM apps agents orchestration eval/observability and workflow automation).
This is not a strategy-only role. We need a builder who can ship integrate and operate systems end-to-end.
What Youll Do
1) Forward Deployed Delivery (Prototype to Production)
- Rapidly build client-relevant demos and proofs of concept that reflect real BGB workflows (content generation modular build review/MLR support routing measurement etc.).
- Convert successful prototypes into production-ready implementations with security access controls auditability and documentation.
- Partner with delivery teams to embed solutions into day-to-day operations not slideware.
2) Agentic AI and Workflow Automation Implementation
- Design and deploy agentic workflows (multi-step tool-using agents; retrieval and reasoning; human-in-the-loop approvals).
- Stand up automation pipelines for repeatable tasks (brief-to-output flows content QA checks tagging/classification summarization knowledge retrieval).
- Build reusable components: templates agent patterns evaluation harnesses and integration adapters.
3) Systems Integration and APIs (Make it all work together)
- Write and maintain APIs/services that connect LLM systems to enterprise tools (content repositories project systems data stores analytics identity/access).
- Implement RAG and knowledge services (indexing retrieval permission-aware access citations provenance).
- Orchestrate data flows across systems with strong logging error handling and versioning.
4) LLM Ops: Observability Evaluation Reliability
- Implement LLM observability (traces cost latency quality) and evaluation (offline and online regression testing guardrails).
- Own the operational reality: monitoring incident response patterns rollbacks prompt/model version control.
- Establish practical standards for reliability and safety in regulated environments.
5) Enablement (Technical Practical)
- Translate needs into technical designs and explain tradeoffs clearly to non-engineers.
- Create lightweight playbooks and internal documentation so teams can adopt and extend what you build.
- Support proposal technical sections and scoping with grounded buildable architectures.
What Success Looks Like (First 90120 Days)
- Ship 23 working prototypes mapped to real BGB workflows and demonstrate measurable value (time saved fewer revisions faster turnaround).
- Move at least one prototype into a production pilot with monitoring eval in place.
- Deliver a reusable agent orchestration starter kit (baseline patterns connectors evaluation harness logging).
Role Requirements
- Hands-on engineering background (you build systems yourself): strong Python plus one backend stack (TypeScript/ or similar).
- Experience deploying LLM applications in real orgs: prompts tools/function calling retrieval evaluation and iteration loops.
- Experience with LLM orchestration and building multi-step workflows (agents DAGs tool use human approvals).
- Ability to design and implement APIs and integrations across enterprise systems (auth permissioning data flow reliability).
- Practical experience with LLM observability and evaluation (quality metrics regression tests traces cost controls).
- Comfortable in client-facing or stakeholder-heavy environments: can explain whats possible and whats not clearly.
Preferred Qualifications
- Multi-agent systems in production or agent frameworks at scale.
- Enterprise automation/workflow experience (process automation knowledge base integration CRM/ERP or content systems).
- Experience in regulated industries (healthcare/life sciences) including audit trails and compliance constraints.
- Azure ecosystem experience (Azure AI Foundry or Azure-hosted LLM stacks) plus identity/permissions patterns.
- Contributions to internal developer platforms reusable tooling or open-source.
- You move fast but dont break trust: pragmatic engineering strong prioritization and reliable delivery.
- You like ambiguity and can turn it into a working system.
- Youre energized by bridging demo and deployment and owning the full lifecycle.
Salary Range: $190000-$240000
BGB Group is an equal opportunity employer.All applicants will be considered without regard to race color religion sex age national origin citizenship status sexual orientation disability veteran status or any category or class of person protected by law.
Required Experience:
Exec
Key Skills
- React Native
- AI
- Enterprise Software
- React
- Node.js
- Redis
- AWS
- Software Development
- IOS
- Team Management
- Product Development
- Mobile Applications
About Company
The brightest minds in healthcare communications are merging science and creativity to deliver the best in advertising, medical education, strategic consulting, and payer marketing
