The AI Solution Partner is A.Team's senior technical voice in the sales process. Working as the counterpart to the Account Executive, this role bridges deep AI and solution architecture expertise with consultative sales engagement - helping clients move from vague AI ambitions to credible, costed solution proposals.
This is not a pure pre-sales or pure delivery role. The AI Solution Partner owns the technical narrative from first contact through to signed proposal, team formation, and may carry advisory responsibility into delivery.
Join sales calls as the senior technical voice, establishing credibility with both technical and business stakeholders
Lead structured discovery to surface AI use-case opportunities, pain points, and value hypotheses
Facilitate working sessions to explore client data, systems, and operational context
Challenge and refine client assumptions where necessary to avoid misaligned scope
Translate discovery findings into coherent AI solution concepts, selecting appropriate architectures (agentic systems, RAG pipelines, data platforms, LLM integrations, etc.)
Design high-level solution architectures grounded in A.Team's composable AI platform capabilities
Define integration patterns with client systems (CRMs, ERPs, data warehouses, cloud infrastructure)
Identify and mitigate technical risk within proposed solutions
Author the technical sections of client proposals: solution overview, architecture diagrams, delivery approach, and assumptions
Produce delivery roadmaps with phased milestones and realistic timelines
Define resource requirements (roles, skills, FTE/day estimates) and translate into cost models
Work with the Account Executive to align technical scope with commercial packaging
Prepare and deliver tailored demonstrations of A.Team's AI platform and prior delivery examples
Adapt showcases to the client's industry, use case, and technical maturity
Build lightweight proof-of-concept assets where needed to accelerate client confidence
Articulate A.Team's differentiated AI proposition in terms relevant to the client's context
Stay current on the AI landscape (model capabilities, tooling, agent frameworks, enterprise deployment patterns) to advise credibly
Contribute to A.Team's internal IP: reusable solution patterns, reference architectures, and proposal templates
Hands-on experience designing and delivering AI/ML systems in enterprise contexts
Working knowledge of LLM application patterns: RAG, agentic orchestration, fine-tuning trade-offs, prompt engineering
Familiarity with modern data and cloud infrastructure (AWS/GCP/Azure, data pipelines, APIs)
Able to produce architecture diagrams and technical documentation to a professional standard
Comfortable discussing trade-offs at both architecture and implementation level
Natural in client-facing settings — can lead a discovery session, hold a room, and ask the right questions
Able to translate ambiguous client problems into structured solution hypotheses
Skilled at scoping — knows how to bound a problem, define assumptions, and manage expectation
Comfortable working in ambiguity without over-engineering too early
Understands how solution decisions affect cost, timeline, and risk
Can contribute to or independently produce effort estimates and cost models
Aware of how proposals are structured commercially and can align technical content accordingly
Writes clearly and concisely — proposals, architecture docs, and async communications
Can present confidently to mixed audiences (technical leads, CMOs, ops directors)
Bridges language between engineering teams and business stakeholders
At A.Team, we are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.