Enterprise AI Deployment
AI Solutions Architect, Enterprise Deployment
Design secure, scalable AI solutions that fit the client's systems, constraints and business goals before teams commit to the wrong architecture.
About this path
This role leads technical discovery and architecture from pre-sales through production design, connecting model capabilities with data, identity, integrations, security, reliability and cost.
You will lead technical discovery with client stakeholders and design architectures that connect model capabilities with the client's real data, identity and security constraints, from early pre-sales conversations through production design. Getting this wrong is expensive, so the role rewards architects who ask hard questions early. It fits engineers who enjoy both the technical depth and the client-facing conversation.
What you would own
- Technical discovery with client stakeholders during pre-sales and early design
- Architecture decisions connecting AI models with data, identity and integrations
- Security and compliance considerations baked into the architecture
- Reliability and cost tradeoffs communicated clearly to stakeholders
- Documentation of architecture decisions for engineering teams to build against
- Ongoing architecture guidance through implementation and production rollout
You are likely a strong match if
- You have solutions architecture or technical pre-sales experience
- You can translate business goals into a workable technical architecture
- You ask hard questions about security and constraints before committing to a design
- You are comfortable in client-facing technical conversations
- You understand tradeoffs between capability, cost and reliability
- You document architecture decisions clearly for engineering teams
Helpful, not required
- Experience with cloud architecture certifications
- Prior solutions engineering or technical pre-sales background
- Experience with enterprise security and compliance frameworks
- Familiarity with model deployment infrastructure
What success looks like
- Architecture decisions hold up as the project scales into production
- Security and compliance requirements are addressed early, not retrofitted
- Client stakeholders trust the architecture recommendations
- Engineering teams can implement against clear architecture documentation
Practical proof that helps
- Architecture diagrams or design documents you have authored, sanitized as needed
- A case study of an architecture decision that prevented a costly mistake
- References from clients or engineering teams you have worked with
What being in the network gives you
- Remote-first work with clients across the United States, Canada and Latin America.
- Human review of your profile, automation organizes information, people decide.
- One profile considered across current and future opportunities.
- Referral rewards when someone you refer directly is successfully placed.
- Full control over availability, matching and your data at any time.
One profile, many opportunities
Applying here creates a single reusable profile. If this path is not the right fit, you remain eligible for other suitable opportunities across the network.
Apply and join the network
Free to join • Start in about 60 seconds • One profile for multiple opportunities • No advanced AI experience required for many roles
Joining the network does not guarantee immediate work or placement. Opportunities depend on professional fit, location, availability and client demand.