
Job Overview
Location
New York, NY
Job Type
Full-time
Category
Data Science
Date Posted
May 16, 2026
Full Job Description
š 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.Teamās 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.Teamās 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.Teamās differentiated AI proposition using language relevant to each clientās context, including enterprise deployment patterns and tooling
- ⢠Maintain current knowledge of the AI landscapeāLLM 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
šÆ 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
šļø Benefits
- ⢠Opportunity to shape A.Teamās 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
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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