We are seeking a Senior Platform Engineer, AI/ML who will operate as a forward deployed team member, embedding directly with business stakeholders across multiple domains to develop, deploy, and operationalize complex AI/ML and GenAI solutions in production environments. This is a high-impact, cross-functional role at a global life sciences company with an expanding AI innovation portfolio.

You will work across domains including Clinical Development, Research & Discovery, TechOps, AI/ML Labs, Translational Science, and Legacy Solution Migration — bridging real-world business needs and core platform teams to shape product roadmaps and deliver immediate value.

Our client is a leading international biotech and powerhouse in antibody therapeutics, dedicated to transforming oncology treatment through its world-class proprietary technology platforms. With an ambitious "2030 Vision" to become a fully integrated global leader, the organization fosters an "unstoppable" culture where deep scientific rigor meets an entrepreneurial spirit to deliver life-changing medicines to patients.

*This role requires roughly 60% in-office presence.

Key Responsibilities:

Forward Deployed Engineering

• Embed with domain teams to understand workflows and rapidly prototype/deploy tailored solutions
• Translate business problems into technical requirements and vice versa
• Champion customer needs within engineering; drive platform roadmap with real-world feedback

AI/ML Development & Deployment

• Build and deploy AI/ML models supporting clinical, research, commercial, and TechOps functions
• Architect and automate AI pipelines on AWS (SageMaker, Bedrock, Lambda, Step Functions, Redshift, Glue, S3)
• Integrate GenAI, agentic solutions, and LLMs into business workflows

Infrastructure & MLOps

• Build scalable, secure, compliant AI solutions meeting HIPAA, GDPR, and responsible AI standards
• Implement CI/CD, IaC, monitoring, logging, drift detection, and governance pipelines
• Optimize with distributed computing, GPU acceleration, and/or serverless architectures

Data Engineering

• Integrate data pipelines across clinical, commercial, and research datasets (EHRs, RWE, claims, biopharma sources)
• Enable seamless data access across cloud storage, data lakes, and AI applications

Required Qualifications:

• Masters or Ph.D. in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• 4+ years in AI/ML, cloud engineering, data science, MLOps, and/or DevOps (life sciences experience a plus)
• ⦁ Track record of delivering production systems with measurable business impact
• ⦁ Experience working directly with business stakeholders to deliver technical solutions

Technical Skills

• ⦁ Strong programming in Python, R, C/C++, Java, Go, or Rust
• ⦁ Broad experience with the AWS cloud ecosystem
• ⦁ AI/ML/GenAI frameworks: PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers
• ⦁ Data platforms: Databricks, Snowflake, or similar; tools like dbt, Spark, Delta/Iceberg
• ⦁ MLOps: model deployment, versioning, monitoring, and drift detection
• ⦁ IaC (Terraform, CDK, Pulumi) + CI/CD for cloud infrastructure at scale
• ⦁ Containerization (Docker, Podman) and orchestration (Kubernetes)
• LLM fine-tuning, RAG systems, AI Agents, and NLP

Domain & Soft Skills

• Basic understanding of life sciences operations; familiarity with GxP, HIPAA, GDPR a plus
• Exceptional customer empathy and the ability to communicate technical concepts to non-technical audiences
• Entrepreneurial mindset: self-driven, proactive, comfortable with ambiguity
• Adaptable team player who builds trust across organizational boundaries

Compensation: Annual Salary Range: $180,000 - $205,000

The salary offered will be commensurate with experience, skills, qualifications, and other relevant factors.

About the Search: This search is being managed by Summit Strategic Search on behalf of our client. This is a full-time, permanent position where the successful candidate will be hired directly by the end client.

Equal Opportunity Commitment: Summit Strategic Search and our client are equal opportunity partners. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Accommodations & Support: We are committed to providing reasonable accommodations for qualified individuals with disabilities during the application and interview process. If you require assistance, please contact us at [email protected]. We maintain a zero-tolerance policy for harassment and provide all contractors with dedicated reporting channels to ensure a safe, professional work environment.

Selection & Onboarding: As this is a direct-hire role within a regulated industry, the end clients standard hiring protocols apply. This includes, but is not limited to, a comprehensive background check and drug screening prior to the start of employment. All hiring decisions are made solely by the end- client.