Sr AI Engineer

Work Schedule

Environmental Conditions

Job Description

As part of the Thermo Fisher Scientific team youll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the worlds toughest challenges like protecting the environment making sure our food is safe or helping find cures for cancer.

DESCRIPTION:
Join our innovative team as a AI Engineer and make a meaningful impact on global science and this role youll design and develop sophisticated software solutions that contribute to improving health and environmental outcomes. Youll work with cutting-edge technologies across cloud platforms data integration AI/ML and enterprise systems to deliver robust applications that power our essential operations.

Working in an agile environment youll collaborate with cross-functional teams to architect implement and optimize solutions across various platforms including AWS Azure ServiceNow and enterprise systems. Youll have the opportunity to drive technical innovation while supporting the growth of other developers and establishing best practices for software development excellence.

Key Responsibilities
Design develop and deploy AI automation solutions using LLMs and generative AI technologies.
Build configure and integrate Model Context Protocol (MCP) servers and tools for connecting LLMs with enterprise systems APIs databases and workflows.
Develop prompt engineering strategies for reliable reusable and production-grade AI workflows.
Create AI agents automation pipelines and orchestration flows for business process automation.
Work with business stakeholders to understand requirements and translate them into AI-enabled technical solutions.
Build integrations with enterprise systems APIs databases cloud services and internal platforms.
Design load and query knowledge graphs using AWS Neptune or other graph databases.
Develop backend logic data pipelines and automation scripts using Python.
Write and optimize SQL queries for data extraction validation transformation and reporting.
Apply basic machine learning concepts where required including classification regression clustering feature engineering and model evaluation.
Support deployment monitoring testing troubleshooting and documentation of AI automation solutions.
Ensure AI solutions are secure scalable explainable maintainable and aligned with enterprise standards.
Collaborate with data engineering application infrastructure architecture security and business teams.
Leading and managing teams

REQUIREMENTS:

Education:
Preferred Fields of Study: Computer Science Information Technology Data Science Artificial Intelligence Engineering or related technical field

5 years of software engineering data engineering AI engineering automation engineering or related technology experience.

Fluent in English and Desired Spanish

Experience:

Hands-on experience working with LLMs generative AI AI agents or AI automation solutions.
Proven experience building production-grade Python applications automation scripts APIs or data processing workflows.
Experience integrating AI solutions with databases APIs enterprise applications and cloud services.
Project-based delivery experience is preferred.

Strong analytical and problem-solving abilities
Excellent communication and collaboration skills
Experience with AI/ML technologies and frameworks preferred
Knowledge of security best practices and compliance requirements
Ability to work independently and as part of a distributed team
Occasional travel may be required (up to 10%)

Mandatory Skills:

Strong and comprehensive knowledge on business processes (finance operations customer services services etc)

Strong hands-on experience with Large Language Models such as OpenAI Claude Gemini Llama Mistral or similar models.
Strong experience in prompt engineering including system prompts few-shot prompting chain-of-thought-safe design structured outputs prompt optimization and prompt evaluation.
Mandatory hands-on experience creating MCP servers MCP tools and integrations for LLM-based applications.
Strong programming experience in Python including scripting API integration data processing and production-quality coding practices.
Strong working knowledge of SQL for querying data profiling joins aggregations stored procedures and performance optimization.
Good hands-on understanding of AWS cloud services and cloud-native deployment patterns.
Good understanding of business processes and ability to convert business requirements into AI automation use cases.
Basic understanding of machine learning models and concepts including supervised and unsupervised learning.
Experience building AI agents Retrieval-Augmented Generation pipelines workflow automation or tool-using LLM applications.

Preferred Skills:

Experience with Retrieval-Augmented Generation and enterprise knowledge sources.
Experience with AI frameworks such as LangChain LlamaIndex Semantic Kernel CrewAI AutoGen or similar.
Experience building REST APIs using FastAPI Flask Django REST Framework or similar Python frameworks.
Experience with AWS services such as Amazon Bedrock Lambda S3 API Gateway CloudWatch IAM Step Functions ECS EKS SageMaker Glue Athena and OpenSearch.
Experience with data engineering concepts ETL/ELT pipelines batch processing API ingestion and data quality validation.
Experience with Git CI/CD Docker containerized deployments and modern DevOps practices.
Experience with LLM evaluation frameworks for answer quality hallucination checks safety reliability grounding and accuracy.
Knowledge of responsible AI data privacy access control security auditability and governance practices.
Experience with observability and monitoring for AI systems including logging tracing cost tracking latency monitoring and usage analytics.
Familiarity with workflow automation tools such as Airflow Power Automate n8n Zapier or similar platforms.