Senior AI Solutions Architect — Remote & Pre/Post-Sales Lead

BIP US

New York (NY)

Hybrid

USD 140,000 - 200,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Voluntary benefits
Discretionary bonus
401k matching
PTO 20 days
Remote/hybrid work environment support

Job summary

BIP US is seeking a Lead Value Engineer to design, develop, and implement AI-powered Process Intelligence solutions within Life Sciences and Healthcare. You will engage executives, supply chain leaders, and tech teams to translate strategic challenges into scalable AI-enabled outcomes.

The role combines technical consulting, AI solution architecture, and customer value realization, with leadership across pre-sales and post-sales engagements from discovery to deployment.

Qualifications

  • 8+ years of experience in technical consulting or enterprise pre/post-sales engagements.
  • Experience delivering enterprise AI solutions including RAG, LLM orchestration, and AI agents.
  • Strong Python development with AI/ML libraries.

Responsibilities

  • Lead AI discovery workshops and translate business needs into AI-driven processes.
  • Design predictive models, optimization and forecasting solutions for Life Sciences/Healthcare.
  • Deliver executive presentations, solution demos, and POV engagements throughout projects.
  • Collaborate with executives, IT, and business units to drive adoption and value realization.

Skills

Python
LLM orchestration
Data analytics
Executive communication
Presales/solution delivery

Education

Bachelor's degree in CS/Engineering/Math/SCM/IS

Tools

pandas
Pydantic
scikit-learn
PyTorch
LangChain

Job description

BIP US is seeking a Lead Value Engineer to design, develop, and implement AI-powered Process Intelligence solutions within Life Sciences and Healthcare. You will engage executives, supply chain leaders, and tech teams to translate strategic challenges into scalable AI-enabled outcomes.

The role combines technical consulting, AI solution architecture, and customer value realization, with leadership across pre-sales and post-sales engagements from discovery to deployment.

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