AI Solution Partner

🕒 April 20

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

A.Team

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🤖 Artificial Intelligence

🏢 Enterprise

💳 Fintech

Artificial Intelligence • Enterprise • Fintech

A. Team is the AI-native systems integrator that F500 trust to deliver real business impact at unreal speed with top engineers who have done it before. A. Team combines elite talent and pre-built infrastructure, allowing organizations to build custom AI solutions rapidly, often achieving results in just a matter of weeks. They offer services ranging from workflow automation to intelligent chatbots and predictive analytics, helping enterprises become more efficient and data-driven.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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. • Proud to be an equal opportunity workplace.