Practice Architect II AI/ML - Micron (Data Modernization)

TEK Systems; United States; Presencial; USD 156.000 - 234.000; Tempo integral

Benefícios oferecidos por esta vaga

Medical, dental & vision

401(k) Retirement Plan

Life Insurance

Disability insurance

HSA

Resumo da vaga

TEK Systems is seeking a Practice Architect II (AI/ML) to own technical direction for customer engagements, driving AI-powered solutions and digital platforms. You will lead onshore and offshore teams, set engineering standards, and contribute hands-on coding for production-grade systems.

You will mentor engineers, communicate architectural decisions to technical and non-technical stakeholders, and ensure alignment across product, engineering, and business units.

Qualificações

• Bachelor's degree in CS, Engineering, IT, or related field.
• 10+ years in software engineering and architecture.
• 3+ years as lead or principal architect.
• 2+ years building production AI/agentic systems.
• Experience onboarding enterprise data and governance.
• Experience leading offshore or distributed teams.
• Cloud-agnostic: AWS, Azure, or GCP production delivery.
• Currently coding and able to complete a hands-on assessment.

Responsabilidades

• Provide technical direction to engineering pods across engagements.
• Lead offshore technical leads; ensure design handoff to distributed teams.
• Mentor engineers on architecture, code quality, and modern practices.
• Serve as senior technical voice to customers and executives; explain trade-offs.

Conhecimentos

Agentic AI architecture

AI/ML delivery

Hands-on coding

Team leadership

Offshore teams

Cloud-agnostic delivery

Architectural governance

Formação

Bachelor's degree in CS/Engineering

Ferramentas

LangGraph

LlamaIndex

Python

TypeScript/Node

SQL

Descrição da vaga

Overview

Before applying for a TGS role, internal employees must discuss their interest with their current manager.

Please share this direct link with your manager so they can submit their approval. Your application cannot move forward until the form is completed.

For OSG Talent, approval must be received from Regional Controller. For Field Support Talent, approval must be from Manager level. Your application cannot move forward until the form is completed.

The Practice Architect II (AI/ML) is a senior hands-on architect who owns technical direction and delivery execution for customer engagements building AI-powered applications and digital platforms. The architect sets architecture direction and engineering standards, writes and reviews production code, and leads onshore and offshore engineering teams from design through production.

This is a delivery role, not pre-sales. It is also not an individual contributor role - the architect is accountable for the output of the teams they lead.

Responsibilities

Key Accountabilities & Priorities

Full Stack Agentic AI Architecture

• Own architecture direction for agentic AI and full-stack solutions across assigned engagements
• Translate business and technical requirements into scalable, sustainable solution architectures
• Set the architecture standards and design patterns delivery teams build against
• Own code review and architecture review gates; make the final call on technical trade-offs

Product Engineering & Innovation

• Write production code for customer engagements - approximately [40-60]% of time
• Build and own reusable accelerators, frameworks, and reference architectures that carry across engagements
• Evaluate emerging technologies and architecture patterns, and decide what enters the stack
• Unblock engineering teams on implementation problems

Delivery and Customer Relationship

• Provide technical direction to engineering pods of engineers across concurrent engagements
• Lead offshore technical leads; ensure design intent survives handoff to distributed teams
• Mentor engineers on architecture, code quality, and modern engineering practice
• Serve as the senior technical voice to customer architects, engineering leaders, and executives
• Explain architecture decisions, risks, and trade-offs to both technical and non-technical audiences
• Surface technical risks and dependencies early, with mitigation options
• Drive alignment across customer product, engineering, and business stakeholders

Core Technical Skills

• Agentic AI, AI-powered solution design, and modern application architecture
• Solution architecture and system design
• Hands-on software development and prototyping
• AI-assisted coding at scale for production deployment
• Code reviews, engineering standards, and quality governance
• Enterprise data onboarding: source access, ownership, entitlement, classification, and quality gating
• Knowledge fabric: governed, queryable knowledge layer over enterprise data - semantic modeling, entity resolution, lineage, freshness
• RAG and retrieval architecture: vector and hybrid search, embedding pipelines, retrieval quality tuning, context and memory management
• Agent security: agent identity, least-privilege tool access, data-boundary enforcement, audit
• Agent execution harness: tool and component boundaries, orchestration, failure handling, human-in-the-loop
• Evaluation: offline and online harnesses, regression suites, groundedness and retrieval quality metrics, cost and latency instrumentation
• Cloud-agnostic delivery: portable across AWS, Azure, and GCP rather than tied to one provider's managed AI services

Stack: Python and TypeScript/Node, strong SQL, agent frameworks (LangGraph, LlamaIndex, or equivalent), MCP, containers, CI/CD, IaC

Qualifications

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline
• [10]+ years in software engineering and architecture, including [3]+ years as a lead or principal architect
• [2]+ years building production AI/agentic systems - deployed and operating, not pilots or proofs of concept
• Has onboarded enterprise data and built a governed knowledge or semantic layer, including entitlement and lineage
• Can describe the security and identity model for agents acting on enterprise data
• Currently coding; able to complete a hands-on technical assessment
• Experience leading offshore or distributed engineering teams
• Has defined RACI across customer, onshore, and offshore teams on a live engagement
• Cloud-agnostic: production delivery on at least [two] of AWS, Azure, or GCP

Customer-facing experience at engineering-leadership and executive level

***Posting Close Date: 11/9/2026 ***

This includes receiving your manager approval form.

We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification.

• US Salary range:$156,000-$234,000 Potential bonus up to: $30,000

Compensation will be determined based on a variety of factors which may include, but are not limited to, education, experience, skills, and geographic location. As an internal Allegis Employee exploring roles within TEKsystems Global Services, hiring eligibility and maintaining existing ancillary benefits are subject to change with transfer from one role to another. Please reach out to Talent Mobility for specific questions:

[e-mail].

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the 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)
• https://www.teksystems.com/en/careers/benefits