Lead AI Solutions Consultant (Pre & Post Sales), Life Sciences

Lead AI Solutions Consultant (Pre & Post Sales), Life Sciences

Company Overview

Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and are on track to reach the Top 20 by 2030, with an expanding global footprint in the US (New York, Charlotte, Chicago, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society.

BIP specializes in high-impact consulting services across multiple industries with 6,000 employees worldwide. Our domains include Life Sciences, Energy, Retail, and Financial Service businesses including Capital Markets, Insurance and Payments verticals, supplemented with Data & AI, Cybersecurity, Risk & Compliance, Change Management and Digital Transformation practices. We integrate deep industry expertise with business, technology, and quantitative disciplines to deliver high-impact results for our clients.

With a strong presence across Healthcare, Life Sciences, Pharmaceutical, and MedTech industries, we partner with some of the world’s most innovative organizations to solve mission-critical operational challenges through intelligent automation, AI-powered decision support, and scalable enterprise solutions.

About the Role

We are seeking a Lead Value Engineer to support the design, development, and implementation of AI-powered Process Intelligence solutions within complex Life Sciences and Healthcare environments.

This role combines technical consulting, AI solution architecture, process optimization, predictive analytics, and customer value realization. The successful candidate will work closely with executive business stakeholders, supply chain leaders, and technology teams to understand strategic business challenges and translate them into scalable AI-enabled solutions.

The ideal candidate will possess strong expertise in enterprise AI, Process Intelligence, predictive analytics, and customer-facing solution delivery, with experience leading both pre-sales and post-sales engagements from discovery through implementation and measurable value realization.

Key Responsibilities

• Lead AI discovery workshops to understand customer strategies, business objectives, and operational challenges across Life Sciences and Healthcare organizations.

• Translate complex business requirements into scalable Process Intelligence and AI-driven solutions using predictive analytics, machine learning, and enterprise AI technologies.

• Design and develop predictive models, optimization algorithms, and forecasting solutions to improve supply chain planning, logistics, manufacturing, inventory management, and distribution operations.

• Lead technical discovery sessions, solution demonstrations, executive presentations, and Proof-of-Value (POV) engagements throughout the customer lifecycle.

• Develop innovative AI prototypes during customer workshops and hackathons using modern AI frameworks, LLMs, and enterprise data platforms.

• Architect and implement Retrieval-Augmented Generation (RAG), LLM orchestration, AI agents, prompt engineering, and enterprise AI solutions with appropriate security, governance, and operational guardrails.

• Collaborate with business executives, supply chain leaders, IT organizations, and technical teams to drive adoption and maximize business value.

• Present technical architectures, implementation roadmaps, business cases, ROI analyses, and value realization strategies to executive stakeholders.

• Support customer implementation activities, ensuring successful deployment, adoption, and long-term business outcomes.

• Continuously evaluate emerging AI technologies, Process Intelligence capabilities, and industry best practices to develop innovative customer solutions.

Required Qualifications

• 8+ years of experience in technical consulting, solution engineering, value engineering, AI consulting, or enterprise pre-sales/post-sales engagements.

• Demonstrated experience designing and delivering enterprise AI solutions, including Retrieval-Augmented Generation (RAG), prompt engineering, LLM orchestration, AI agents, and generative AI applications.

• Strong Python programming experience, including hands-on development using libraries such as pandas, Pydantic, scikit-learn, PyTorch, LangChain, and related AI/ML frameworks.

• Experience developing predictive analy…