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AI Solution Partner

Job Overview

Location

New York, NY

Job Type

Full-time

Category

Data Science

Date Posted

May 16, 2026

Full Job Description

šŸ“‹ Description

  • • Serve as the senior technical voice in sales engagements, partnering with Account Executives to guide clients from vague AI ambitions to credible, costed solution proposals
  • • Lead structured discovery calls with technical and business stakeholders to identify AI use-case opportunities, pain points, and value hypotheses
  • • Facilitate working sessions to evaluate client data systems, operational workflows, and existing infrastructure to inform solution design
  • • Challenge and refine client assumptions to prevent scope misalignment and ensure technically feasible outcomes
  • • Translate discovery insights into coherent AI solution concepts using A.Team’s composable AI platform, including agentic systems, RAG pipelines, data platforms, and LLM integrations
  • • Design high-level architecture diagrams that define integration patterns with client CRMs, ERPs, data warehouses, and cloud environments (AWS/GCP/Azure)
  • • Identify and mitigate technical risks within proposed solutions, including data quality, latency, scalability, and model drift concerns
  • • Author the technical sections of client proposals, including solution overviews, architecture diagrams, delivery approaches, and key assumptions
  • • Develop phased delivery roadmaps with realistic milestones, resource requirements (FTE/day estimates), and cost models aligned with commercial packaging
  • • Prepare and deliver tailored demonstrations of A.Team’s AI platform and prior delivery examples, adapting content to client industry, use case, and technical maturity
  • • Build lightweight proof-of-concept assets to accelerate client confidence and validate technical feasibility
  • • Articulate A.Team’s differentiated AI proposition using language relevant to each client’s context, including enterprise deployment patterns and tooling
  • • Maintain current knowledge of the AI landscape—LLM capabilities, agent frameworks, fine-tuning trade-offs, prompt engineering best practices, and emerging tools
  • • Contribute to internal IP development by creating reusable solution patterns, reference architectures, and standardized proposal templates
  • • Communicate complex technical concepts clearly and concisely to mixed audiences including CMOs, ops directors, engineering leads, and executive stakeholders
  • • Bridge communication gaps between technical teams and business stakeholders throughout the sales and delivery lifecycle
  • • Operate autonomously in ambiguous environments without over-engineering early-stage proposals, while maintaining rigor in scoping and assumption documentation
  • • Ensure technical scope is commercially viable by understanding how architecture decisions impact timeline, cost, and risk
  • • Produce professional-grade technical documentation and architecture diagrams that meet enterprise standards
  • • Retain advisory responsibility into early delivery phases, ensuring technical proposals are successfully implemented as designed

šŸŽÆ 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, and prompt engineering
  • • Familiarity with modern cloud infrastructure (AWS/GCP/Azure), data pipelines, and APIs
  • • Ability to produce professional architecture diagrams and technical documentation
  • • Natural consultative skills in client-facing settings, with ability to lead discovery sessions and manage ambiguity
  • • Strong commercial acumen: ability to produce effort estimates, cost models, and align technical scope with commercial packaging

šŸ–ļø Benefits

  • • Opportunity to shape A.Team’s internal IP, including reusable solution patterns and reference architectures
  • • Direct influence on client outcomes by bridging technical design with commercial success
  • • Exposure to diverse industries and cutting-edge AI use cases across enterprise clients
  • • Collaborative, equal-opportunity workplace with no discrimination based on race, gender, religion, sexual orientation, disability, or veteran status

Skills & Technologies

AWS
Azure
GCP
Onsite

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About A-Team Global

A-Team Global is a European software engineering and IT services company providing dedicated development teams, staff augmentation, and end-to-end product development for web, mobile, cloud, and embedded systems. Founded in 2013 and headquartered in Riga, Latvia, the company serves clients across fintech, telecom, IoT, and e-commerce sectors, delivering scalable solutions through agile methodologies and long-term partnerships.

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