The Principal Practice Architect, AI is the architecture decision maker for
artificial intelligence across the enterprise. The role owns the standards,
reference architecture, guardrails, technology selections and roadmap that every
portfolio conforms to when it builds with AI. When this role sets the
enterprise standard for an agent framework, a model gateway or an evaluation
approach, that is the standard: Portfolio Architects design within it, Solution
& Domain Architects conform to it and platform teams implement it. It works
with senior IT, data, security and risk leaders as a peer.
RESPONSIBILITIES
Define the enterprise agentic strategy and own the standards, patterns and
reference architectures for AI: agentic patterns, model orchestration and
gateways, retrieval and grounding, evaluation harnesses, and how AI workloads
use the shared data and integration foundation
Own AI technology and platform selection for the enterprise: model providers,
agent frameworks, orchestration, evaluation and observability tooling, and AI
code assist tooling, in consultation with the Data, Integration and
Infrastructure Practice Architects
Own Security and Responsible AI guardrails with Security, Legal and Risk:
model risk classification, evaluation criteria, human-in-the-loop
requirements, data protection for AI workloads and the conditions under which
an AI capability may reach production
Own the enterprise AI platform strategy and roadmap: build versus buy,
platform consolidation, capability expansion, version currency and sunset
planning, as architecture input to investment decisions
Review solution designs that incorporate AI for conformance to the standard,
and advise Portfolio Architects where their decisions intersect AI without
overriding them
Keep the AI Center of Excellence's platform delivery aligned to the
enterprise standard, and provide architecture direction for the Enterprise AI
Game Changers initiatives
Define the AI governance and operating model: how AI use cases are proposed,
approved, built and monitored, and how the AI Center of Excellence,
portfolios and architecture divide the work
Run the AI technology radar: assess what is emerging, maturing or declining,
at a cadence that matches a market that resets every few quarters
Document and publish AI best practices: tooling, design patterns and LLM
guidance, and build AI architecture capability across Solution & Domain
Architects through enablement and hands-on guidance
Serve as a standing member of architecture governance, contributing AI
intelligence to enterprise strategy and investment decisions
This is a remote position.
This position is not eligible for sponsorship for work authorization now or in
the future, including conversion to H1-B visa.
Job duties include contact with other employees and access confidential and
proprietary information and/or other items of value, and such access may be
supervised or unsupervised. The Company therefore has determined that a review
of criminal history is necessary to protect the business and its operations and
reputation and is necessary to protect the safety of the Company’s staff,
employees, and business relationships.
Must be eighteen years or older
QUALIFICATIONS
Minimum Qualifications:
Must be at least 18 years of age
Must be legally authorized to work in the country of employment without now
or in the future requiring sponsorship for employment visa status (e.g., OPT,
CPT, H1B, EB-1, etc.)
Bachelor's degree in Computer Science or Information Technology, or in lieu
of a degree, at least 18 years of experience in technology delivery.
15+ years in technology, including 5+ years of hands-on software or machine
learning engineering and 8+ years in architecture or deep technical
leadership roles
Production experience designing and governing AI systems at enterprise scale:
LLM applications, agent frameworks, model orchestration, retrieval and
grounding, evaluation harnesses and guardrails. Advisory-only AI experience
does not qualify
3+ years setting enterprise technology standards and making platform
selection decisions across multiple business units or delivery teams
Working depth in the ML lifecycle, MLOps, data architecture and integration
patterns, enough to design AI workloads that reuse the existing foundation
Current hands-on use of AI code assist and agentic development tooling;
evaluates AI platforms directly rather than through vendor material
Track record of influencing senior technical leaders as a peer and enforcing
standards across delivery teams without creating bottlenecks
Preferred Qualifications:
TOGAF Level 2, CISSP, CEAP, CSA, CSEA
Travel: 10-15%
At Sherwin-Williams, our purpose is to inspire and improve the world by coloring
and protecting what matters. Our paints, coatings and innovative solutions make
the places and spaces in our world brighter and stronger. Your skills, talent
and passion make it possible to live this purpose, and for customers and our
business to achieve great results. Sherwin-Williams is a place that takes its
stability, growth and momentum and translates it to possibility for our people.
Our people are behind the strength of our success, and we invest and support you
in:
Life … with rewards, benefits and the flexibility to enhance your health and
well-being
Career … with opportunities to learn, develop new skills and grow your
contribution
Connection … with an inclusive team and commitment to our own and broader
communities
It's all here for you... let's Create Your Possible
At Sherwin-Williams, part of our mission is to help our employees and their
families live healthier, save smarter and feel better. This starts with a wide
range of world-class benefits designed for you. From retirement to health care,
from total well-being to your daily commute—it matters to us. A general
description of benefits offered can be found at http://www.myswbenefits.com/
[http://www.myswbenefits.com/]. Click on “Candidates” to view benefit offerings
that you may be eligible for if you are hired as a Sherwin-Williams employee.
Compensation decisions are dependent on the facts and circumstances of each case
and will impact where actual compensation may fall within the stated wage range.
The wage range listed for this role takes into account the wide range of factors
considered in making compensation decisions including skill sets; experience and
training; licensure and certifications; and other business and organizational
needs. The disclosed range estimate has not been adjusted for the applicable
geographic differential associated with the location at which the position may
be filled. The wage range, other compensation, and benefits information listed
is accurate as of the date of this posting. The Company reserves the right to
modify this information at any time, with or without notice, subject to
applicable law.
Qualified applicants with arrest or conviction records will be considered for
employment in accordance with applicable federal, state, and local laws
including with the Los Angeles County Fair Chance Ordinance for Employers and
the California Fair Chance Act where applicable.
Sherwin-Williams is proud to be an Equal Employment Opportunity employer. All
qualified candidates will receive consideration for employment and will not be
discriminated against based on race, color, religion, sex, sexual orientation,
gender identity, national origin, protected veteran status, disability, age,
pregnancy, genetic information, creed, marital status or any other consideration
prohibited by law or by contract.
As a VEVRAA Federal Contractor, Sherwin-Williams requests state and local
employment services delivery systems to provide priority referral of Protected
Veterans.
Please be aware, Sherwin-Williams recruiting team members will never request a
candidate to provide a payment, ask for financial information, or sensitive
personal information like national identification numbers, date of birth, or
bank account numbers during the application process.