Senior AI Engineer
Atlas
Senior AI Engineer
We are seeking a hands-on Senior AI Engineer to design and build AI-enabled solutions that drive operational efficiency, automation, and intelligent workflows across enterprise systems.
This role focuses on applied AI and solution delivery. The ideal candidate will work on complex, real-world problems—ranging from process automation to workflow optimization—and determine when to leverage AI, automation, or traditional engineering approaches to deliver scalable, production-grade solutions.
While experience in regulated or security-conscious environments is valuable, this role is not limited to security use cases and spans broader enterprise applications.
Key Responsibilities
Applied AI & Automation
- Design and build AI-enabled solutions, including agent-based workflows, decision services, and intelligent automations
- Translate complex or ambiguous business and operational problems into production-ready AI-driven solutions
- Apply sound judgment to determine when to use AI, automation, or deterministic logic
Systems Integration & Workflow Engineering
- Develop integrations and automations using APIs, services, and event-driven architectures
- Build reusable components and workflows to support enterprise-wide automation initiatives
- Design solutions that streamline manual processes (e.g., forms, routing, approvals, notifications)
Solution Delivery & Collaboration
- Partner with engineers, product owners, and business stakeholders to deliver effective solutions
- Write maintainable, well-tested, and production-ready code
- Contribute to shared patterns, frameworks, and best practices for applied AI and automation
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- 5–8+ years of experience in software engineering, systems engineering, or related roles
- Hands-on experience building and deploying real-world AI/LLM-based solutions (not just prototypes)
- Experience designing agent-based systems, orchestration workflows, or retrieval-based solutions (RAG, APIs, etc.)
- Proficiency in Python or similar programming languages
- Strong experience working with APIs, distributed systems, and service-oriented architectures
- Ability to translate business requirements into end-to-end technical solutions
Preferred Qualifications
- Experience building AI-enabled automation for business processes or operational workflows
- Background in regulated industries (e.g., healthcare, pharma, finance, manufacturing)
- Experience integrating AI solutions into enterprise platforms and internal systems
- Familiarity with cloud environments (AWS, Azure, GCP)
- Exposure to security concepts or working within security-conscious environments (nice to have, not required)
What Success Looks Like
- Delivers scalable, production-grade AI solutions that solve real business problems
- Builds intelligent workflows that reduce manual effort and improve operational efficiency
- Translates ambiguous challenges into clear, implementable solutions
- Develops reusable components and patterns for broader enterprise use
- Earns trust through strong technical execution and collaboration across teams
$200k - $300k
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