BGB Group · 7 hours ago
VP, Forward Deployed AI Engineering
BGB Group is a healthcare communications agency known for its excellence and professionalism. They are seeking a hands-on VP of Forward Deployed AI Engineering to lead the deployment of AI automation and agentic systems, working across teams to prototype and operationalize AI capabilities in real workflows.
AdvertisingConsultingMarketing
Responsibilities
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
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
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
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
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
Qualification
Required
Hands-on engineering background (you build systems yourself): strong Python plus one backend stack (TypeScript/Node, .NET, 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 what's possible and what's not clearly
Preferred
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 don't break trust: pragmatic engineering, strong prioritization, and reliable delivery
You like ambiguity and can turn it into a working system
You're energized by bridging demo and deployment and owning the full lifecycle
Company
BGB Group
BGB Group is a marketing company that specializes in scientific communications, strategic consulting, and promotional advertising services.
H1B Sponsorship
BGB Group has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2024 (1)
2022 (2)
2021 (1)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
TPG
2021-10-14Private Equity
Recent News
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