[Remote] Practice Architect-AI/ML

Note: The job is a remote job and is open to candidates in USA. TEKsystems Global Services (TGS) is a growth solution provider for enterprises, focusing on technology, strategy, design, execution, and operations. They are seeking a Practice Architect I for AI/ML to manage consulting projects and account teams, focusing on machine learning and artificial intelligence solutions, while ensuring delivery and alignment with customer objectives.


Responsibilities

  • Gain a clear understanding of customers’ business objectives, data landscape, and technical requirements for AI/ML and Generative AI solutions based on the agreed solution architecture and Statement of Work (SOW)
  • Understand, develop, and mature AI/ML and GenAI solution designs by collaborating with customers and internal stakeholders to manage expectations, resolve architectural, data, model, and delivery issues, and ensure alignment with production and scalability goals
  • Facilitate internal communication and coordinate the assembly of cross-functional AI/ML delivery teams, including data science, MLOps, cloud engineering, security, practice support, and account team members for new engagements
  • Consolidate and communicate delivery status, model readiness, MLOps maturity, and agreed costing information across project stakeholders to ensure transparency and alignment throughout the engagement lifecycle
  • Ensure delivery escalation procedures are clearly defined, addressed, and communicated to clients, consultants, and management, particularly for risks related to data quality, model performance, GenAI behavior, infrastructure, and compliance
  • Implement and oversee a knowledge management strategy for AI/ML engagements, ensuring effective knowledge transfer from sales and solutioning to delivery teams, including GenAI architectures, agentic workflows, and operational considerations
  • Perform delivery risk and issue management across AI/ML and GenAI programs, proactively identifying risks related to data, models, infrastructure, governance, and security, and facilitating timely resolution with appropriate stakeholder communication
  • Identify, manage, and coordinate delivery change control processes for AI/ML and Generative AI engagements, including changes related to data availability, model scope, infrastructure, MLOps pipelines, and evolving GenAI requirements
  • Perform periodic AI/ML project and program analysis, including architecture reviews, model lifecycle assessments, MLOps and GenAI workflow health checks, in collaboration with practice and delivery resources
  • Assess and enhance customer reference-ability by ensuring successful delivery of AI/ML and GenAI solutions and establishing trusted advisory relationships with customers and account team members
  • Refine the AI/ML practice pipeline and product line attributes based on delivery metrics, adoption trends, model performance, and alignment with market demand, emerging GenAI capabilities, and agentic AI patterns
  • Support the development and execution of Account Strategies by identifying AI/ML and Generative AI opportunities and collaborating with internal stakeholders to align technical capabilities with client business objectives
  • Capture, develop, and refine AI/ML, MLOps, and Generative AI intellectual property (IP) derived from projects and programs, including reference architectures, accelerators, agentic AI patterns, and reusable assets for training and delivery
  • Coordinate with subject matter experts to define and standardize best practices for AI/ML and GenAI delivery, including model development standards, MLOps practices, responsible AI considerations, and continuous delivery improvements
  • Understand and manage customer requirements (delivery and environmental factors) to ensure contract understanding and acceptance for deliverables, cost, contract type, timeline, risk and assumptions, and customer satisfaction
  • Ensure delivery methodology is understood by team from project initiation to project closeout; sales/solution to delivery knowledge transfer
  • Financial and contractual responsibility for engagement profitability
  • Maintain awareness for additional business opportunities and support pursuit of future business through quality results and escalation to internal stakeholders when additional business opportunities may present themselves
  • Ensure delivery management methodology is followed on all client opportunities
  • Mentor, manage and develop product/project team members. Team size varies from 3 team members up to 8-10 team members
  • Conduct annual reviews and provide feedback throughout the year on employee performance where required
  • Ensure Human Resources policies and procedures are communicated and executed according to internal and consultant HR policies

Skills

  • Bachelor's Degree or equivalent, relevant experience
  • Strong conceptual and analytical skills, demonstrating out-of-the-box problem solving, including the ability to apply AI/ML and Generative AI concepts to complex business and technical challenges
  • Proven ability to appropriately prioritize and plan complex work in a rapidly changing environment, particularly across AI/ML, MLOps, and GenAI initiatives with evolving requirements and dependencies
  • Demonstrated experience designing, evaluating, and guiding Generative AI solutions, including large language model (LLM) use cases, prompt engineering strategies, retrieval-augmented generation (RAG), and agentic or multi-step AI workflows
  • Ability to collaborate with machine learning, engineering, cloud, security, and business stakeholders to translate GenAI capabilities into scalable, production-ready solutions
  • Team player with experience leading and collaborating across teams to deliver successful solutions, including cross-functional AI/ML and GenAI delivery teams
  • Excellent oral and written communication skills (English language), with the ability to explain GenAI and ML concepts to both technical and non-technical audiences, including executives
  • Superior people and personnel management skills, including mentoring teams working on AI/ML, MLOps, and Generative AI solutions, and fostering best practices and delivery excellence
  • Relevant certifications in the subject matter area(s)

Benefits

  • Medical, Dental, and Vision
  • Critical Illness, Accident, and Hospital
  • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
  • Life Insurance (Voluntary Life and AD&D for employee and dependents)
  • Short and Long-Term Disability
  • Health Spending Account (HSA)
  • Transportation Benefits
  • Employee Assistance Program
  • Time Off/Leave (PTO, Vacation or Sick Leave)

Company Overview

  • At TEKsystems, they understand people. Every year they deploy over 80,000 IT professionals at 6,000 client sites across North America, It was founded in 1994, and is headquartered in Hanover, Maryland, USA, with a workforce of 10001+ employees. Its website is http://www.teksystems.com.

  • Company H1B Sponsorship

  • TEKsystems has a track record of offering H1B sponsorships, with 46 in 2025, 52 in 2024, 33 in 2023, 22 in 2022, 36 in 2021, 53 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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