Specialist I - ML Engineering

Who we are:

At UST, we help the world's best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our clients to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact, touching billions of lives in the process. Visit us at UST.com.

Summary:

UST is looking for a GenAI Architect - Life Sciences with deep expertise in Generative AI, Agentic AI, Python, FASTAPI, AWS Cloud, and Software Architecture. The ideal candidate will have 12+ years of experience designing and delivering large-scale enterprise applications, with mandatory experience in the Life Sciences domain, including Pharmaceuticals, Biotechnology, Medical Devices, Diagnostics, Clinical Research, Pharmacovigilance, or Digital Health solutions.

The role demands a hands-on architect who can define solution strategy, drive architecture decisions, build cloud-native AI applications, and lead delivery teams while collaborating with business and technical stakeholders.

The Opportunity:

As a GenAI Architect - Life Sciences, you will lead the design and implementation of scalable, secure, and enterprise-grade AI solutions leveraging large language models (LLMs), AI agents, cloud technologies, and modern software engineering practices. You will partner with cross-functional teams to solve complex business problems across Life Sciences and Healthcare domains.

Key Roles & Responsibilities

Architecture & Design

Define and implement scalable, secure, and high-performance architectures for GenAI and Agentic AI solutions.

Design APIs, microservices, and distributed systems using Python and FASTAPI.

Establish architectural standards, design patterns, and best practices for enterprise AI platforms.

Design AI-powered solutions for Life Sciences use cases including:

• Clinical Research
• Pharmacovigilance
• Regulatory Affairs
• Medical Affairs
• Diagnostics & Digital Health
• Scientific Data Management

Development & Implementation

• Develop AI-driven applications and services using Python and modern frameworks.
• Build, integrate, and orchestrate LLMs, RAG pipelines, and AI agents within enterprise ecosystems.
• Apply MLOps and DevOps practices for efficient deployment, monitoring, and maintenance of AI solutions.
• Develop GenAI-powered capabilities such as:
  • Scientific literature summarization
  • Medical content generation
  • Document intelligence
  • Knowledge management
  • Workflow automation

Cloud & Infrastructure

Design and deploy cloud-native AI applications using AWS services including Lambda, ECS/EKS, S3, DynamoDB, Bedrock, SageMaker, and related services.

Optimize solutions for scalability, resiliency, performance, and cost efficiency.

Implement enterprise security, governance, compliance, and observability frameworks.

Ensure solutions comply with Life Sciences data privacy and regulatory requirements.

Leadership & Collaboration

Operate as a proactive individual contributor with ownership of architecture and delivery.

Provide technical leadership, mentoring, and architectural governance across teams.

Collaborate with product owners, data scientists, engineers, business stakeholders, and Life Sciences SMEs.

Drive innovation and adoption of emerging GenAI and Agentic AI technologies.

Problem Solving & Innovation

Troubleshoot and resolve complex technical and architectural challenges.

Evaluate emerging AI technologies, frameworks, and best practices.

Promote continuous improvement and innovation across AI platforms and products.

What You Need

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related discipline.

12+ years of software development and architecture experience.

Strong hands-on expertise in Python development.

Proven experience building production-grade APIs and services using FASTAPI.

Extensive experience with AWS cloud platforms and cloud-native architectures.

Experience designing and implementing large-scale distributed systems.

LLMs

RAG Architectures

AI Agents

Prompt Engineering

Orchestration Frameworks

Experience building enterprise applications with scalability, security, and reliability considerations.

Excellent communication, leadership, and stakeholder management skills.

Strong analytical, troubleshooting, and problem-solving abilities.

Ability to lead teams while remaining hands-on with architecture and development.

Mandatory Domain Experience

Candidate must possess hands-on experience in one or more of the following Life Sciences areas:

Pharmaceuticals

Biotechnology

Medical Devices / IVD

Clinical Trials & Clinical Research

Pharmacovigilance

Regulatory Affairs

Healthcare Data Platforms

Digital Health Solutions

Additionally, candidates should demonstrate a strong understanding of:

Life Sciences business processes

Regulatory and compliance requirements

Healthcare and scientific data ecosystems

Industry-specific workflows and standards

Required Skills

• Generative AI
• Agentic AI
• Large Language Models (LLMs)
• Retrieval Augmented Generation (RAG)
• Python
• FASTAPI
• AWS Cloud Services
• Software Architecture
• Cloud-Native Development
• Microservices Architecture
• Distributed Systems
• API Design & Development
• Life Sciences Domain Expertise
• Clinical Research & Healthcare Analytics

Desired Skills

• LangChain
• LlamaIndex
• AWS Bedrock
• SageMaker
• Docker
• Kubernetes
• MLOps
• MLflow
• Kubeflow
• Event-Driven Architecture
• Observability & Monitoring
• AI Governance
• Data Privacy & Security
• Regulatory Compliance (GxP, FDA, EMA)
• Knowledge Graphs and Semantic Search

  Qualification

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
• Master's degree preferred.
• Relevant AWS, GenAI, Cloud, or Architecture certifications are an added advantage.

  What We Believe

  We're proud to embrace the same values that have shaped UST since the beginning. Since day one, we've been building enduring relationships and a culture of integrity. Today, those same values inspire us to encourage innovation, champion diversity and inclusion, and place people at the center of everything we do.

  Humility

  We will listen, learn, be empathetic, and help selflessly in our interactions with everyone.

  Humanity

  Through business, we will better the lives of those less fortunate than ourselves.

  Integrity

  We honor our commitments and act with responsibility in all our relationships.

  Equal Employment Opportunity Statement

  UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

  All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.

  UST reserves the right to periodically redefine your roles and responsibilities based on organizational requirements and/or individual performance.

  Support and promote UST values.

  Comply with all company policies and procedures.