Artificial Intelligence Engineer

Amtex Systems Inc
United States
1 day ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Audit Trail Data Infrastructure Python (Programming Language) Standard Sql Unstructured Data Data Ingestion Large Language Models Snowflake Multi-Agent Systems Prompt Engineering Generative AI
+2 more
Machine Learning Operations Automation Anywhere

Job description

The Senior AI Engineer will design, build, and operationalize AI and agentic systems that power Client data platform at scale.

Embedded within the Data & Intelligence organization, this engineer will apply large language models (LLMs), retrieval-augmented generation (RAG), multi-agent orchestration, and foundation model capabilities to automate, enhance, and scale operations

Build and optimize semantic models and AI-ready datasets for structured and unstructured data.

Design and automate data ingestion, transformation, orchestration, and refresh pipelines.

Integrate clinical, commercial, and external data sources into enterprise AI workflows. Optimize Snowflake performance and ensure production-ready, maintainable solutions.

You will collaborate with data engineers, full stack engineers, legal and compliance teams to deliver production-grade AI solutions.

You will apply responsible AI principles, implement human-in-the-loop controls, and ensure audit logging and observability across AI-assisted privacy workflows.

Requirements

Must Have Skills - Preference to someone from Pharma Background

  • LLMs
  • Retrieval-Augmented Generation (RAG)
  • ML ops
  • Gen AI
  • Python
  • Need to have experience building agents from scratch
  • Snowflake
  • SQL
  • Prompt Engineering
  • Semantic Modeling

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

3:56 min

Leveraging GitOps for AI auditing and instant rollbacks

Jaroslaw Gajewski Jaroslaw Gajewski · World Congress 2026 Europe

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

4:04 min

Defining agentic AI and the tool execution architecture

Rijk van Zanten Rijk van Zanten · Europe 2026 Virtual

Videos

See all

Related articles

See all