For more details, please connect with Soumya Nayak at or call at (919) 892-9711.
End Client: MTA (Metropolitan Transportation Authority)
Job Title: AI Architect
Duration: 6 Months + Extendable
Location: 2 Broadway - MTA Headquarters, 3 days onsite and 2 days remote (Hybrid)
Ceipal ID: MTA_AI926_SN
Job Code: 5926-1
Scope of Project:
The MTA is seeking an experienced Data & AI Architect to design, define, and deliver enterprise data and artificial-intelligence solutions across a large, multi-department organization. This is a hands-on architecture role that blends deep technical expertise with strong stakeholder engagement. The architect will partner directly with business and operational teams across the MTA to surface ambiguous, poorly defined problems, translate them into clear and actionable requirements, secure approval, and implement solutions using modern agentic development tooling.
The ideal candidate is equally comfortable in a whiteboard session with a non-technical department head and in the details of a multi-cloud data and AI platform. They bring recent, primarily Azure-based experience and hands-on fluency with Copilot-style AI development tooling, along with broad exposure to multiple cloud providers, database technologies, and AI/ML frameworks.
Responsibilities:
Engage stakeholders across any MTA department to elicit, clarify, and shape nebulous or emerging data and AI use cases into well-scoped opportunities.
Translate business needs into clear, actionable requirements documents that both technical and non-technical audiences can understand and act on.
Present and explain proposed solutions, trade-offs, and value to stakeholders and governance bodies, and drive requirements through to formal approval.
Architect end-to-end data and AI solutions spanning ingestion, storage, transformation, modeling, serving, and consumption layers.
Design and implement solutions using agentic development tooling to accelerate delivery while maintaining quality, security, and maintainability.
Define reference architectures, patterns, and standards for data and AI across multi-cloud and multi-database environments.
Ensure solutions meet enterprise requirements for security, privacy, data governance, cost efficiency, and regulatory compliance.
Collaborate with engineering, data science, platform, and product teams to move approved solutions from design into production.
Mentor and provide technical guidance to engineers and analysts, and champion good data and AI practices organization wide.
Required/Preferred Skills:
8+ years of overall experience in data engineering, data architecture, software engineering, or a closely related field, with 6+ years in an architecture-focused role.
Multi-cloud experience with hands-on design and delivery across at least two major cloud providers such as Azure, AWS, or GCP.
Multi-database experience across relational, NoSQL, analytical/warehouse, and vector or graph database technologies.
Practical experience across AI/ML and generative-AI frameworks, models, and platforms including LLMs, ML pipelines, RAG, and model orchestration.
Strong requirements-gathering and stakeholder-facing skills with the ability to extract clarity from ambiguity and write actionable specifications.
Excellent written and verbal communication skills with the ability to explain complex technical concepts to non-technical audiences and secure buy-in.
Hands-on experience delivering solutions with agentic development tooling / AI-assisted development workflows.
Experience taking solutions from concept through approval to production implementation.
Recent Microsoft Azure experience including Azure Data services, Synapse/Fabric, Azure OpenAI, and Azure ML.
Hands-on experience with Microsoft Copilot tooling such as GitHub Copilot, Copilot Studio, or M365 Copilot preferred.
Experience in large, complex, public-sector, transit, or infrastructure organizations preferred.
Relevant cloud or data architecture certifications preferred.
Familiarity with enterprise data governance, MLOps, and responsible-AI practices.
| Areas of Expertise | Data modeling and prototyping | Yes | 1 | 4 - 6 Years |
| Areas of Expertise | Design of Data Environment | Yes | 1 | 4 - 6 Years |
| Soft Skills | Analyzing and synthesizing qualitative data | Yes | 1 | 6 + Years |
| Soft Skills | Problem Solving Capability | Yes | 1 | 6 + Years |
| Technical Skills | Ability to Create Accurate Math Models From Scan Data | Yes | 1 | 4 - 6 Years |
| Technical Skills | AI | Yes | 1 | 4 - 6 Years |
| Technical Skills | Data Analysis | Yes | 1 | 6 + Years |
| Technical Skills | Information Architecture | Yes | 1 | 6 + Years |
V Group Inc. is a NJ-based IT Services and Products Company with its business strategically categorized in various Business Units including Public Sector, Enterprise Solutions, Professional Services, Ecommerce, Projects, and Products. Within Public Sector business unit, we cater IT Professional Services to Federal, State and Local. We have multiple awards/ contracts with 30+ states, including but not limited to NY, CA, FL, GA, MD, MI, NC, OH, OR, CO, CT, TN, PA, TX, VA, NM, VT, and WA.
If you are considering applying for a position with V Group, or in partnering with us on a position, please feel free to contact me for any questions you may have regarding our services and the advantages we can offer you as a consultant.
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