Join A.Team as an AI Solution Partner, where you will be the senior technical voice in the sales process. You will bridge deep AI and solution architecture expertise with consultative sales engagement, helping clients move from vague AI ambitions to credible, costed solution proposals. This role involves leading structured discovery sessions, translating findings into coherent AI solution concepts, and authoring the technical sections of client proposals. You will also prepare and deliver tailored demonstrations of A.Team's AI platform and contribute to the company's internal IP.
About the role
- 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 - Comfortable working in ambiguity without over-engineering too early - Able to translate ambiguous client problems into structured solution hypotheses - Natural in client-facing settings — can lead a discovery session, hold a room, and ask the right questions - Skilled at scoping — knows how to bound a problem, define assumptions, and manage expectation - Aware of how proposals are structured commercially and can align technical content accordingly - Can contribute to or independently produce effort estimates and cost models - Understands how solution decisions affect cost, timeline, and risk - Bridges language between engineering teams and business stakeholders - Writes clearly and concisely — proposals, architecture docs, and async communications - Can present confidently to mixed audiences (technical leads, CMOs, ops directors)Key missions
- Establish credibility with both technical and business stakeholders, leading structured discovery to surface AI use-case opportunities.
- Translate discovery findings into coherent AI solution concepts, selecting appropriate architectures and designing high-level solution architectures.
- Author the technical sections of client proposals, producing delivery roadmaps with phased milestones and realistic timelines.