AI/ML Practice Architect

Description

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise.

We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunities for people to achieve fulfillment through career success.

Ready to join us?

Here’s what the opportunity supported through our TGS Talent Acquisition Team requires:

Position Overview

The AI/ML Practice Architect is a senior , hands-on technical leader who combines solution architecture and customer consultation with deep applied AI/ML engineering capability. This role accelerates practice growth by shaping repeatable offerings, guiding delivery excellence, and building production-grade AI systems — especially GenAI/LLM, retrieval, evaluation, and agentic workflows — integrated into customer platforms.

This role will travel as needed, which includes customer onsite workshops, executive presentations, delivery kickoffs, and internal practice events.

Why This Role Exists

• Drive measurable customer outcomes by designing and delivering AI/ML and GenAI solutions end-to-end (discovery → build → deploy → operate).

• Scale TGS AI capabilities through reusable playbooks, reference architectures, accelerators, and enablement.

• Partner with Sales and Delivery to shape, price, and win work; serve as a trusted advisor in pre- and post-sales engagements.

Key Outcomes (First 6–12 Months)

1. Establish (or evolve) the AI/ML Solution Playbook: discovery templates, context/RAG patterns, evaluation rubrics, and governance/guardrails.

2. Deliver 2–4 production deployments (or major releases) demonstrating reliability, safety, and business value; publish reusable artifacts to the practice repository.

3. Create a reference architecture for agentic AI/LLM systems (tool use, memory, orchestration, human-in-the-loop controls, observability).

4. Improve delivery predictability: clear estimation models, quality gates, and SDLC/MLOps/LLMOps standards aligned to DevOps principles.

5. Support GTM: contribute to proposals, SOWs, pricing, case studies, demos, and executive narratives that help land-and-expand accounts.

Core Responsibilities

A) Practice Architecture & Consulting (Customer Value + Growth):

• Lead customer discovery and value definition: map current/future-state workflows, define success metrics, and translate business goals into technical requirements.

• Design solution architectures and delivery approaches; document assumptions, risks, dependencies, and cost/effort estimates.

• Create and maintain practice solution content: reference architectures, accelerators, templates, delivery playbooks, and pricing guidance.

• Partner with Sales, Solutioning, Delivery Leadership, and Practice Directors on pre-sales strategy, proposals, and executive communications.

• Mentor consultants/engineers: design reviews, technical coaching, and best-practice enablement across engagements.

• Continuously optimize delivery processes, promote reuse, and champion innovation rooted in measurable customer impact.

B) AI/ML Engineering & Delivery (Hands-on Technical Leadership):

• Build and ship production AI/ML systems including model integration, data pipelines, services, and user experiences.

• Design and implement GenAI/LLM solutions: prompt & context engineering, RAG grounding, embedding/vector store strategies, and latency/quality trade-offs.

• Evolve prompted workflows into agentic AI: durable execution, tool use, memory, orchestration (single- and multi-agent), and human-in-the-loop gates.

• Establish evaluation and experimentation rigor: offline/online tests, human + AI evaluation rubrics, error taxonomies, and KPI instrumentation.

• Implement security, safety, and compliance controls: PII handling, prompt-injection mitigations, model risk management, and red-teaming.

• Operationalize MLOps/LLMOps: CI/CD, model/version management, observability, drift/feedback loops, and incident response.

C) Leadership, Accountability & Cross-Functional Influence:

• Drive execution cadence with clear gates, owners, and KPIs from discovery through launch.

• Hold self and others accountable to commitments; proactively resolve issues before they impact customers.

• Communicate trade-offs, impact, and risk to technical and non-technical stakeholders; produce executive-ready narratives and artifacts.

• Support practice hiring/interviewing and capability building as needed; contribute to internal communities of practice.

Required Qualifications

• 8 or more years in full stack software engineering, data engineering, ML engineering, or applied AI, including delivery in customer-facing or consulting environments

• 3 or more years building and deploying ML/LLM/GenAI-powered products (e.g., prompt/context engineering, RAG, evaluation, and guardrails)

• Strong solution architecture skills: requirements gathering, estimation, system design, and leading technical decisions across teams

• Proficiency in Python and at least one of: TypeScript/JavaScript, Java, Go, or Rust; experience building APIs and services (e.g., FastAPI, Django, Node/Express)

• Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker); familiarity with Kubernetes is a plus

• Ability to influence across stakeholders (Sales, Delivery, Engineering, Product, Security/Privacy) and communicate effectively at multiple levels

Preferred Qualifications

• Experience deploying or fine-tuning open-source LLMs (e.g., Hugging Face, vLLM, Ollama) and/or using managed services (e.g., Azure OpenAI, Bedrock, Vertex AI)

• Hands-on experience with agent frameworks/orchestration (e.g., LangGraph, AutoGen, CrewAI) and tool integration patterns

• Experience with vector databases and semantic search (e.g., Pinecone, Weaviate, Chroma) and advanced RAG/knowledge graph techniques

• Experience leading small teams or technical workstreams while remaining hands-on

• Exposure to regulated environments (e.g., Finance & Healthcare) and formal security/privacy review processes

Success Profile (Competencies & Behaviors)

Manages Complexity: Integrates diverse inputs, clarifies ambiguity, and translates business and technical constraints into actionable architecture and delivery plans.

Customer Focus: Builds trusted relationships, aligns to measurable outcomes, and delivers customer-centric solutions with quantified impact.

Communicates Effectively: Delivers clear multimode communication; explains trade-offs, risks, and “the why” behind decisions to technical and non-technical audiences.

Ensures Accountability: Owns outcomes, meets commitments, escalates early, and drives execution to closure.

Cultivates Innovation: Creates new and better ways for the organization to be successful; promotes reuse and continuous improvement.

Optimizes Work Processes: Designs efficient delivery processes; improves quality through automation, standards, and playbooks.

Nimble Learning / Self-Development: Learns through experimentation, seeks feedback, and stays current with AI/ML and GenAI trends.

Collaborates: Builds partnerships across Sales, Delivery, Engineering, and customer teams to meet shared objectives.

Decision Quality: Makes good and timely decisions using decision criteria, trade-offs, and risk mitigation.

Manages Ambiguity / Situational Adaptability: Operates effectively when the path is unclear; adapts approach to shifting constraints and stakeholder needs.

Drives Results: Consistently delivers results under tough circumstances and focuses on key goals during setbacks.

Skills

AI, product management

Top Skills Details

AI,product management

Additional Skills & Qualifications

Excellent communication skills

Experience Level

Expert Level

This is a Permanent position based out of Baltimore, MD.

The pay range for this position is $136000.00 - $204000.00/yr.

We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Our full-time, internal employment benefits include the following:

• 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

This is a fully remote position.

This position is anticipated to close on Jun 19, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.