GenAI Architect

About Company:

We are calling candidates on behalf of the world leader in serving science, with revenues of more

than $40 billion and approximately 1,20,000 employees globally. Our Mission is to enable

our customers to make the world healthier, cleaner, and safer. We help our customers

accelerate life sciences research, solve complex analytical challenges, improve patient

diagnostics, deliver medicines to market and increase laboratory productivity.

About Team:

We are Automation, AI and Data (AAD) team that caters to data engineering

and analytics, Automation and AI solutions for various groups and divisions within

ThermoFisher Scientific.

What will you do?

We are looking for a highly skilled GenAI Architect with strong expertise in software

architecture, Python development, cloud-native applications, and GenAI/Agentic AI. The

ideal candidate will have 12+ years of software development and architecture experience,

hands-on proficiency in FASTAPI and AWS services, and a proven track record of

building applications at scale. This role requires a proactive individual contributor who can

also lead teams when needed, combining technical depth with leadership capabilities.

Key Responsibilities

Architecture & Design

1. Define and implement scalable, secure, and high-performance architectures for GenAI and Agentic AI solutions.
2. Design APIs, microservices, and distributed systems leveraging Python and FASTAPI.
3. Drive best practices in software architecture, design patterns, and scalability.

Development & Implementation

1. Develop AI-driven applications and services using Python and modern frameworks.
2. Build and integrate LLMs and AI agents into enterprise workflows.
3. Apply MLOps and DevOps practices for continuous integration, deployment, and monitoring of AI solutions.

Cloud & Infrastructure

1. Leverage AWS services (Lambda, ECS/EKS, S3, DynamoDB, SageMaker, etc.) to design and deploy cloud-native AI applications.
2. Ensure solutions are optimized for scalability, availability, performance, and cost-efficiency.
3. Implement security and compliance standards in cloud-based AI workloads.

Leadership & Collaboration

1. Work proactively as an individual contributor with ownership of design and delivery.
2. Lead and mentor team members when required, providing architectural guidance and technical leadership.
3. Collaborate with data scientists, engineers, and product managers to deliver impactful AI solutions.

Problem Solving & Innovation

1. Troubleshoot complex system and application issues with a solution-oriented approach.
2. Stay ahead of industry trends in GenAI, Agentic AI, and large-scale distributed systems.
3. Experiment with emerging frameworks (e.g., LangChain, LlamaIndex) to enhance AI capabilities.

Required Qualifications

1. 12+ years of software development and architecture experience.
2. Strong expertise in Python development.
3. Proven experience with FASTAPI for building APIs and services.
4. Hands-on experience with AWS cloud services for development and deployment.
5. Experience in designing and developing applications for scale in distributed environments.
6. Expertise in Generative AI and Agentic AI (LLMs, AI agents, orchestration frameworks).
7. Excellent problem-solving and troubleshooting skills.
8. Lifesciences domain is mandatory.
9. Pharma and healthcare domain is an added advantage.
10. Ability to work independently and lead teams when necessary.

Preferred Qualifications

1. Experience with containerization and orchestration (Docker, Kubernetes).
2. Familiarity with event-driven and microservices architectures.
3. Good to have - Knowledge of MLOps frameworks (Kubeflow, MLflow, SageMaker, Vertex AI).
4. Understanding of data privacy, governance, and compliance in AI systems.