Practice Architect II- GCP AI/ML at Teksystems Global Services LLC

, Oregon, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

234000.0

Posted On

22 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Architecture, Cloud, Google Cloud, Design, Solution Architecture, Development, Enterprise Architecture, Professional Services, Artificial Intelligence, Machine Learning, Agile, AWS, Azure, Java, Automation, DevOps

Industry

IT Services and IT Consulting

Description

Description As an organization, TEKsystems Global Services (TGS) provides a continuum of services ranging from Engagement Management to full functional Outsourcing including Offshore Centers in Canada and India. Our model provides the ability to engage customers beyond staffing when asked for more ownership, capabilities, or methodology while enhancing client/consultant support. We partner with progressive leaders to create opportunity, accelerate business transformation and help build the enterprises of tomorrow. We work with 80% of the Fortune 500 to address their technology, strategy, and talent needs. We innovate so industries stay ahead of what’s next. As a full stack technology and talent services provider, we partner with our customers across the globe to own change. Join us. At TEKsystems Global Services, we live in the tech world. We’re out in front of the trends and tools that shape industry and create fresh opportunities. All-in, fully engaged, high energy partnership is how we approach everything – our commitments and our people. Our people are at the center, fueling our high-performance and our inclusive culture. We’re doers, looking for doers who do the right thing. Roll-up your sleeves thought-leaders focused on creating possible. Team champions who declare success only when everyone achieves their ambitions. Sound like the career experience you’ve been searching for? We’re looking for a Practice Architect II- GCP AI/ML to join our team. A practitioner who accelerates outcomes, affects positive change, and moves business forward. Let’s partner. Together, we can accomplish amazing things. Here’s what the opportunity supported through our TGS Talent Acquisition Team requires: The GCP AI/ML Practice Architect II is a key leadership position within TEKsystems Global Services, responsible for designing, developing, and leading the implementation of sophisticated Artificial Intelligence (AI) and Machine Learning (ML) solutions on the Google Cloud Platform (GCP) for major clients. This role requires a seasoned professional with robust experience in architecting and delivering enterprise-grade AI/ML systems. The Practice Architect II will provide technical leadership to project teams, ensuring solutions are scalable, resilient, and aligned with client business objectives and TEKsystems' quality standards. A significant aspect of this role involves translating complex business challenges into effective technical solutions using a variety of GCP AI/ML services. The incumbent will also play a crucial role in practice development, contributing to the creation of intellectual property (IP), mentoring junior team members, and supporting pre-sales activities. This position is distinguished by the complexity of engagements and the expectation to lead delivery efforts within larger cross-functional programs. This individual must be a motivated technologist adept at navigating multiple cloud platforms and demonstrating a proven track record in software and technology consulting. The GCP AI/ML Practice Architect II serves as a vital link between client requirements and technical execution, ensuring that the AI/ML solutions delivered are not only technologically sound but also drive tangible business value. This role demands a deep understanding of data architecture, data strategy, data management, data engineering, AI architecture, and MLOps. The architect will collaborate closely with clients to understand their needs, present technical solutions, and build confidence in TEKsystems' ability to deliver. Furthermore, this position contributes to the refinement of practice methodologies and service offerings, leveraging insights gained from project engagements and staying abreast of the latest advancements in GCP AI/ML technologies, including Generative AI. Responsibilities: Architecture & Delivery Excellence: · Lead the technical design and architecture of complex, end-to-end AI/ML solutions on Google Cloud Platform, leveraging a comprehensive suite of services including Vertex AI (Pipelines, Training, Prediction, Feature Store), BigQuery ML, AutoML, Generative AI capabilities (e.g., leveraging Gemini, RAG patterns), Document AI, and Contact Center AI. · Develop and implement robust, scalable, and production-grade AI/ML systems, ensuring they meet stringent performance, security, and reliability requirements for enterprise clients. · Architect and implement comprehensive MLOps frameworks on GCP for efficient model development, deployment, monitoring, and lifecycle management, including CI/CD pipelines, model versioning, and automated retraining strategies. · Design and oversee the implementation of data engineering pipelines on GCP for AI/ML use cases, covering data ingestion, preprocessing, feature engineering, and data governance using services like Google Cloud Storage, BigQuery, Dataflow, and Pub/Sub. Project Leadership & Delivery Management: · Lead the technical delivery of significant GCP AI/ML projects, ensuring adherence to architectural best practices, project scope, timelines, and budget constraints. · Provide technical leadership and guidance to cross-functional project teams, including AI/ML engineers, data scientists, and data engineers, fostering a collaborative and high-quality delivery environment. · Manage technical risks and issues throughout the project lifecycle, facilitating timely resolution and communicating effectively with stakeholders. · Ensure financial and contractual responsibility for the profitability of assigned AI/ML engagements. · Conduct deep-dive "hands-on" education/training sessions to transfer knowledge to customers considering, or already using GCP Client Engagement & Technical Advisory · Collaborate closely with client stakeholders to understand their business objectives, technical requirements, and challenges, translating them into effective GCP AI/ML solution architectures. · Present and articulate complex technical solutions, architectural designs, and project progress to both technical and non-technical client audiences, building trust and ensuring alignment. · Act as a key technical point of contact for clients during project execution, addressing concerns and managing expectations. · Support pre-sales activities by contributing to solution design, proposal development, technical presentations, and proof-of-concept (PoC) demonstrations for GCP AI/ML opportunities. Practice Development & Mentorship: · Contribute significantly to the development and refinement of TEKsystems' GCP AI/ML practice by creating reusable intellectual property (IP), best practices, reference architectures, and delivery methodologies. · Mentor and guide junior architects and AI/ML engineers, fostering their technical and professional growth within the practice. Team sizes for mentorship can range from 3 to over 10 members. · Stay current with the latest advancements in GCP AI/ML services, open-source frameworks, and industry trends, sharing knowledge and driving innovation within the team. · Participate in architectural discussions to build confidence and ensure customer success when building new and migrating existing applications, software, and services on the GCP platform. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. • Please click on the following link to learn more about our full-time internal employment benefits: https://www.teksystems.com/en/careers/benefits. o Canada (English) full time internal employment benefits link - https://www.teksystems.com/en-ca/careers/benefits o Canada (French) full time internal employment benefits link - https://www.teksystems.com/fr-ca/careers/benefits o Link to downloadable PDF EMEA specific country benefits documents to share with talent - https://allegiscloud.sharepoint.com/sites/TheOne/HR/benefits/Pages/default.aspx • A general description of any bonuses, profit sharing, commissions or other compensation offered for the position should be included: Additional earnings may be available through incentive programs like annual bonuses, commissions, profit sharing, etc. • A posting close date added to the description: The expected posting close date is 8/25/25. Skills Architecture, Cloud, google cloud, Design, Solution architecture, Development, Enterprise architecture, Professional services, artificial intelligence, machine learning, Agile, Aws, Azure, Java, Automation, Devops, Data, Project management, Communication and leadership skills Top Skills Details Architecture,Cloud,google cloud,Design,Solution architecture,Development,Enterprise architecture,Professional services,artificial intelligence,machine learning Additional Skills & Qualifications Google Cloud Professional Machine Learning Engineer · Google Cloud Professional Data Engineer Experience Level Expert Level Job Type & Location This is a Permanent position based out of Remote, OR. Pay and Benefits The pay range for this position is $156000.00 - $234000.00/yr. • Bonus information: Enter annual bonus potential - Bonuses are paid out at the end of the year and are tied to a percentage of personal and company’s performance. • Benefits: Health insurance Blue Cross Blue Shield PPO - 100 percent coverage for well visits, Individual and family options, Dental and vision options, Health savings account with annual company contribution, Coverage begins within 30 days of employment • Time off: 20 days annually plus six company holidays; After three years of employment, increases to 23 days annually plus six company holidays • Retirement savings: 401(k) with matching contribution; Profit-sharing • Tuition reimbursement: Up to a maximum of $5,250 annually for eligible courses/programs Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Nov 30, 2025. h4>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.

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Responsibilities

The GCP AI/ML Practice Architect II is responsible for designing, developing, and leading the implementation of AI and ML solutions on the Google Cloud Platform. This role involves providing technical leadership to project teams and ensuring solutions align with client business objectives.