Senior Lead AI Engineer

Medidata SolutionsWoodbridge Township, NJ
83d$135,000 - $180,000Hybrid

About The Position

Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating 25 years of ground-breaking technological innovation across more than 36,000 trials and 11 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million users trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. The Senior Lead AI Engineer reporting to the Senior Director, Enterprise Technology works within the Information Systems organization with strong expertise in AWS cloud services, machine learning, and large-scale data engineering to lead the design, development, and deployment of AI-driven solutions. This role requires hands-on engineering and architectural skills to drive AI/ML initiatives from conception to production while ensuring scalability, performance, and security of solutions.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field.
  • 5+ years of hands-on experience in AI/ML engineering.
  • 10+ years of hands-on experience on high volume data engineering solutions.
  • Deep expertise in the AWS AI/ML stack, including SageMaker, Bedrock, Redshift, Glue, and Lambda.
  • Proficiency in Python, PyTorch, TensorFlow, and MLOps frameworks.
  • Hands-on experience with LLMs, RAG architecture, embeddings, and vector search.
  • Strong understanding of cloud architecture, IAM, VPC networking, and cost management on AWS.
  • Experience in developing multimodal AI solutions (text, image, audio).
  • Familiarity with AWS Bedrock Knowledge Bases, Agent Frameworks, and fine-tuning custom models.
  • Exposure to data governance and security frameworks relevant to AI workloads.
  • Prior experience working with enterprise operational systems (Finance, Sales, Customer Support/Success, etc.).

Responsibilities

  • Partner with internal teams on AI initiatives and translate business problems into AI-driven solutions and frameworks.
  • Assess emerging AI technologies and stay current with advancements (e.g., LLMs, generative AI, multimodal models) and identify opportunities for adoption or innovation.
  • Provide strategic guidance on emerging technologies, including considerations for Bedrock vs. custom model hosting and hybrid cloud AI approaches.
  • Integrate APIs from major LLM providers (OpenAI, Anthropic Claude, Amazon Bedrock, etc.).
  • Perform prompt engineering and fine-tune LLMs for domain-specific tasks.
  • Optimize model performance, latency, and cost for production workloads.
  • Develop and Lead the technical design of AI/ML solutions using AWS services such as Amazon Bedrock, SageMaker, OpenSearch and Python frameworks.
  • Develop and fine-tune Large Language Models (LLMs), generative AI models, and predictive Machine Learning models.
  • Implement comprehensive security, compliance, and cost optimization strategies for AI workloads on AWS.
  • Deploy scalable models incorporating strong MLOps practices including CI/CD pipelines, monitoring, and retraining.
  • Integrate Retrieval Augmented Generation (RAG) and vector databases (OpenSearch, Pinecone, etc) for advanced generative AI solutions.
  • Implement AI governance, content filtering, and security guardrails using AWS Bedrock Guardrails and IAM policies.
  • Architect and manage robust data pipelines, utilizing a hybrid approach with Informatica Cloud and AWS services (S3, Lambda, Step Functions, Redshift).
  • Ensure strict adherence to ethical AI practices and regulatory compliance (e.g., GDPR, HIPAA).

Benefits

  • Medical, dental, life and disability insurance
  • 401(k) matching
  • Flexible paid time off
  • 10 paid holidays per year

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Industry

Professional, Scientific, and Technical Services

Education Level

Master's degree

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