Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements.
This opportunity is with a fast-growing, technology-driven financial services organization redefining how artificial intelligence is embedded across enterprise operations and digital products. Backed by a globally recognized asset management firm, the company is building a modern AI foundation to enhance both internal workflows and customer experiences.
A newly established AI function is at the center of this transformation. Operating as a startup within the enterprise, this team is focused on delivering real-world AI solutions at scale. This role is highly visible and works closely with leadership to shape how AI is adopted, implemented, and scaled across the organization.
What’s In Store For You
Opportunity to build and scale AI capabilities from the ground up
Direct exposure to senior leadership and decision-makers
High-impact role influencing engineering, product, and business teams
Competitive compensation + bonus + long-term growth
Opportunity to define enterprise AI strategy and adoption
Work in a fast-paced, innovation-driven environment
How You Will Make An Impact
AI Engineering & Platform Development (≈60%)
Design and build AI infrastructure including models, pipelines, and integrations
Develop and deploy LLM-powered applications and RAG-based solutions
Integrate AI into enterprise systems, APIs, and digital platforms
Build scalable backend services connecting AI models to real-world workflows
Identify and implement new AI use cases across the business
AI Enablement & Leadership (≈40%)
Partner with business and engineering teams to drive AI adoption
Coach both technical and non-technical stakeholders on AI capabilities
Standardize and optimize AI workflows across teams
Act as a trusted AI advisor to leadership and product teams
Help scale AI usage across the organization through education and frameworks
Are you a full-stack AI engineer who can build AND lead AI adoption?
8+ years of software engineering experience
Strong full-stack or backend engineering background
1–3+ years hands-on experience with AI / LLM / Generative AI
Proven experience shipping at least one AI solution to production
Experience building RAG pipelines, LLM workflows, or AI-driven applications
Strong experience with APIs, backend systems, and cloud platforms (AWS preferred)
Familiarity with frameworks such as LangChain, Hugging Face, or LlamaIndex
Ability to integrate AI into real-world business workflows
Experience working cross-functionally with engineering and business teams
Strong communication skills and ability to explain AI concepts clearly
Experience mentoring or enabling teams on AI adoption is highly preferred
Entrepreneurial mindset with ability to operate in fast-moving environments
What Makes You Stand Out
Experience building agentic AI workflows or multi-agent systems
Background in enterprise AI enablement or AI Centers of Excellence
Experience integrating AI into existing enterprise platforms
Exposure to regulated industries (finance, insurance, etc.)
Public AI work (GitHub, blogs, speaking, etc.)
Work Model
Hybrid – Durham, NC (3–4 days onsite preferred)
Open to candidates willing to relocate
Relocation assistance available for strong candidates
We are looking for someone who:
Has actually built and shipped AI systems (not just POCs)
Can translate AI into real business impact
Can coach teams and scale AI adoption across the organization
Thrives in a startup-like, high-ownership environment within an enterprise
To apply, please submit your resume and cover letter highlighting your relevant experience and qualifications.
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About us:
Axiom Path is a global solutions provider leveraging AI and pre-built analytics to deliver exceptional services across various domains. Our core values (Accountability, Excellence, Integrity, and Community) guide us in providing optimized results and unparalleled service. xsgimln We are an equal opportunity employer, a SIA-recognized diversity-owned firm, committed to diversity and inclusion.