AI Platform Engineer Jobs in Austin, TX
AI Platform Engineer jobs in Austin, Texas are concentrated in the Domain, downtown's tech corridor, and the East Austin innovation district, with strong demand across cloud infrastructure, enterprise software, and AI-native startups. Employers hiring right now include Apple, Amazon Web Services, and Google. See the openings below and apply to the ones that match your experience.
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9624
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Department
Practice Management
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Location(s)
Austin
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State
Texas
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Function
GenAI
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Job Description
As CohnReznick grows, so do our career opportunities. As one of the nation’s top professional services firms, CohnReznick creates rewarding careers in advisory, assurance, and tax with team members who value innovation and collaboration in everything they do!
CohnReznick helps organizations optimize performance, manage risk, and maximize value through CohnReznick LLP (assurance services) and CohnReznick Advisory LLC (advisory and tax services). Together, the firm provides leaders with deep industry knowledge and relationships, solutions to address clients’ unique business goals and risks, and insight on how emerging market forces can drive opportunity. With offices nationwide, the firm serves organizations around the world as an independent member of Nexia.
We currently have an exciting career opportunity for a Applied AI Platform & DevOps Engineer Senior Manager to join the Strategic AI team and lead the development and execution of AI-enhanced business solutions. This role owns the full lifecycle—from problem definition and stakeholder engagement to prototyping, building, evaluating, and preparing solutions for deployment. You will work directly with business owners and product leads to ensure solutions are aligned with strategic goals and integrated into operational workflows.
YOUR TEAM.
We are seeking an Applied AI Platform & DevOps Engineer to own the end-to-end platform, environments, and operational lifecycle for AI-enabled platforms and applications built by the Strategic AI team. This role is responsible for all environments, CI/CD pipelines, hosting, reliability, availability, security, and operational tooling—with AI embedded natively into the software development lifecycle (SDLC).
This is a hands-on engineering role. You will write production code, build and operate shared platforms, and ensure that AI applications developed by the Strategic AI team are production-ready, secure, observable, and scalable.
This role does not focus on feature delivery. It owns how AI software is built, deployed, and run.
WHY COHNREZNICK?
At CohnReznick, we’re united by a common mission to create opportunity, value, and trust for our clients, our people, and our communities. Whether it’s working alongside your peers to solve a client challenge, or volunteering together at the local food bank, there are so many ways to find your “why” at the firm.
We believe it’s important to balance work with everyday life – and make time for enjoyment and fun. We invest in a robust Total Rewards package that includes everything from generous PTO, a flexible work environment, expanded parental leave, extensive learning & development, and even paid time off for employees to volunteer.
YOUR ROLE.
Responsibilities include but not limited to:
Own AI-Native Environments & CI/CD
Design, implement, and operate end-to-end CI/CD pipelines for AI-enabled platforms and applications.
Manage versioning, promotion, and rollback of:Embed AI-aware testing into CI/CD:
Implement safe deployment patterns (canary, shadow, feature flags).
Own Hosting & Runtime for Strategic AI Applications
Own the hosting and execution environment for AI services (APIs, background jobs, agents, workflows).
Design and operate inference orchestration patterns (managed APIs, hybrid or local models as needed).
Implement reliability mechanisms: caching, batching, retries, fallbacks, circuit breakers.
Partner with core infrastructure teams, while retaining ownership of the AI runtime layer.
Reliability, Availability, and Security of AI Systems
Define and enforce SLOs/SLAs for AI platforms and applications.
Build and maintain AI-specific observability, including:Own security implementation for AI systems:
Ensure AI platforms meet enterprise security, privacy, and compliance standards.
AI-Native Software Development Lifecycle
Embed AI capabilities directly into the SDLC:
Define standards for how Strategic AI builds, reviews, deploys, and operates AI software.
Continuously improve tooling and workflows to reduce manual effort and operational risk.
Platform & Tooling Development
Build and maintain shared internal tools, libraries, and templates used by the Strategic AI team.
Create “golden paths” for common AI patterns (e.g., RAG, agent workflows, orchestration).
Reduce friction for Applied AI Engineers by providing reliable, well-documented infrastructure and tooling.
Future / Optional Scope (Secondary Priority)
As capacity allows, contribute to processes or tooling that help transition experimental or business-built AI prototypes into managed Strategic AI platforms.
This is not a primary responsibility and does not detract from core platform ownership.
YOUR EXPERIENCE.
The successful candidate will have:
6+ years of experience in DevOps, Platform Engineering, SRE, or Backend Engineering, with ownership of production systems.
Strong hands-on coding experience (e.g., Python, TypeScript/Node.js, Java, or C#).
Deep experience with CI/CD, environment management, and infrastructure automation.
Proven experience owning production hosting, reliability, and availability for distributed systems.
Strong understanding of authentication, authorization, and secure service integration.
Comfort being accountable for operational outcomes in production environments.
Preferred Qualifications
Experience operating AI-enabled applications in production (LLMs, RAG, agentic workflows).
Familiarity with retrieval systems, embeddings, and vector databases.
Experience implementing observability and runtime controls beyond basic infrastructure metrics.
Experience working in regulated or security-conscious environments.
In addition, please take a moment to review our Universal Job Standards.
Studies have shown that we are less likely to apply to jobs unless we meet every single qualification. At CohnReznick, we are dedicated to building a diverse, equitable, and inclusive workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or one of our other roles.
"CohnReznick" is the brand name under which CohnReznick LLP and CohnReznick Advisory LLC and their respective subsidiaries provide professional services. CohnReznick LLP and CohnReznick Advisory LLC (and their respective subsidiaries) practice in an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable law, regulations, and professional standards. CohnReznick LLP is a licensed CPA firm that provides attest services to its clients. CohnReznick Advisory LLC provides tax and business consulting services to its clients. CohnReznick Advisory LLC and its subsidiaries are not licensed CPA firms.
CohnReznick is an equal opportunity employer, committed to a diverse and inclusive team to drive business results and create a better future every day for our team members, clients, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. For more information, please see Equal Employment Opportunity Posters
If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at CRaccommodation@CohnReznick.com Please note: This email address is reserved for individuals with disabilities in need of assistance and are not a means of inquiry about positions or application statuses.
CohnReznick does not accept unsolicited resumes from third-party recruiters unless such recruiters are currently engaged by CohnReznick Talent Acquisition Team by way of a written agreement to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that CohnReznick will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
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See All 110+ AI Platform Engineer Jobs in Austin
Find roles in Austin that match your experience and apply in just a few clicks.
Find AI Platform Engineer JobsAI Platform Engineer Job Market in Austin
Who's Hiring
- Apple59

- Amazon Web Services6

- Google4

- Amazon4

- NVIDIA3

Top Industries Hiring
- Electronics & Hardware60
- Technology & Software19
- Artificial Intelligence7
- Banking & Financial Services7
- Distribution & Wholesale6
AI Platform Engineer Jobs in Austin: Frequently Asked Questions
How do I get a ai platform engineer job in Austin?
Focus your search on Austin's tech-dense corridors: the Domain, downtown's Second Street District, and the growing East Austin startup cluster. Enterprise software companies, cloud infrastructure firms, and AI-native startups all hire platform engineers here with regularity. Candidates who demonstrate hands-on experience with MLOps tooling, Kubernetes, and cloud platforms like AWS or GCP stand out most in Austin's competitive hiring pool.
Which companies hire ai platform engineers in Austin?
Employers hiring ai platform engineers in Austin right now include Apple, Amazon Web Services, and Google, based on current listings on Migrate Mate as of June 2026. Austin's market is a mix of established enterprise tech companies, high-growth SaaS firms, and early-stage AI startups, giving candidates options across company size and funding stage.
Are there remote ai platform engineer jobs in Austin?
Yes, though availability depends on the role's hands-on infrastructure requirements, with fully remote work more common for platform architecture and ML pipeline work than for data center or on-premises deployments. About 19% of ai platform engineer openings tied to Austin are remote or hybrid as of June 2026, reflecting the city's strong remote-work culture in tech. Cloud-focused and MLOps-heavy roles in Austin tend to offer the most location flexibility.
How can I get a ai platform engineer job in Austin with little or no experience?
The most realistic entry path in Austin is through a junior DevOps, cloud operations, or ML engineering support role at one of the city's many mid-size SaaS or cloud infrastructure companies, which regularly hire candidates who can demonstrate project work even without years on a resume. Austin's active tech meetup scene and University of Texas connections create real networking opportunities. Building a portfolio on public cloud platforms and contributing to open-source MLOps projects are concrete steps that Austin hiring managers respond to.
Which industries hire the most ai platform engineers in Austin?
The sectors hiring the most ai platform engineers in Austin are Electronics & Hardware, Technology & Software, and Artificial Intelligence, based on current listings on Migrate Mate as of June 2026. Austin's identity as a hub for enterprise software, fintech, and AI infrastructure companies drives concentrated demand from employers who need platform engineers to build and maintain production-grade ML systems at scale.
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