What are the responsibilities and job description for the Senior AI Solutions Architect (Generative AI) position at Orbis Group?
Senior AI Solutions Architect (Generative AI)
Austin, TX | Reston, VA | Washington, DC (Hybrid)
We’re hiring a hands-on Senior AI Solutions Architect to help shape the future of Generative AI solutions across industries such as finance, healthcare, and telecommunications. This is a chance to join a well-funded, fast-scaling AI company (fresh off a nine-figure funding round at unicorn valuation) and make an immediate impact designing, building, and delivering real-world GenAI applications.
Why Join?
- Be at the forefront of Generative AI adoption — delivering practical solutions, not just experiments.
- Work in a role that blends hands-on technical build with client-facing solution delivery.
- Build reference architectures, playbooks, and points of view that define industry best practice.
- Join a team with the resources, talent, and momentum to win in this space.
What You’ll Do?
- Turn ideas into outcomes — design, scope, and deliver production-ready GenAI solutions with clear success metrics (quality, latency, ROI, adoption).
- Prototype & productionise — retrieval, agent, and fine-tuning workflows; integrate APIs & data sources; stand up evaluations and dashboards.
- Own the client journey — from discovery to delivery, guiding customers through architecture decisions with credibility and clarity.
- Shape best practice — codify patterns, publish explainers, and share pragmatic insights back to Product & GTM.
What We’re Looking For?
- Proven experience shipping Generative AI solutions in production (not just proofs of concept).
- Strong Python coding skills (comfortable building glue code, evaluators, metrics).
- Hands-on knowledge of GenAI toolsets: retrieval-augmented generation, orchestration/agents, fine-tuning, vector search.
- Experience designing & deploying ML solutions on AWS, Azure, or GCP.
- Ability to communicate complex architectures clearly with clients and stakeholders.
Bonus Points?
- Experience in regulated industries (finance, healthcare, public sector).
- Exposure to Responsible AI / Trustworthy AI frameworks.
- Authored blogs, talks, or internal playbooks on GenAI best practice.
- Certifications in AWS, Azure, or GCP.
Compensation: £200,000 – £210,000 base bonus, equity, and benefits.
If you’re excited about shaping how enterprises adopt Generative AI — and want to do it in a company with the funding, team, and momentum to win — we’d love to connect.
Salary : $200,000 - $210,000