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