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Entry Level Azure Ai Engineer Jobs in Austin, TX

... on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

As a Responsible AI Engineer, you'll be experienced in building state of the art AI systems to ... Understanding and working knowledge of cloud services and platforms (e.g., AWS, Azure, or Google ...

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Connect AI solutions with Atlas internal systems, Microsoft Graph, Azure services, third-party APIs ...

You Are: You are an AI Engineer who builds and integrates AI applications using leading model ... You have Cloud or AI engineering certifications (AWS, Azure, or Google) * You have experience with ...

GPU MLOps Engineer

Austin, TX · On-site

$200K - $280K/yr

Your Job The GPU- MLOps Engineer will own the Azure platform layer end-to-end - deploying AI/ML models, provisioning and managing GPU compute, securing the environment, and continuously optimizing ...

AI/ML Engineer - Remote

Austin, TX · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

... Azure OpenAI, RAG, and LLM concepts. Potential Career Paths: * Data Analyst * Business Analyst * BI Developer * SQL Developer * Data Engineer * Data Integration Specialist * AI/Data Consultant What ...

Software Engineer (Austin)

Austin, TX · On-site

$6.0K - $7.0K/mo

The Software Engineer (Programmer II-III) performs complex to highly complex computer programming ... Azure AI Studio) and experience leveraging managed foundation models. -A strong desire to learn ...

Machine Learning Engineer

Austin, TX · On-site

$62K - $100K/yr

Knowledge of prompt engineering and retrieval augmented generation (RAG) and experience with advanced AI tools such as ChatGPT Enterprise and Microsoft Copilot, Azure AI Foundry. * Experience in fine ...

DevOps Expert - Remote

Austin, TX · Remote

$30 - $80/hr

... (SRE) * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker * Terraform * CI/CD * GitHub / GitLab / JIRA * Observability * ChatGPT Work * Claude Code * Claude Cowork * AI Agents

Machine Learning Engineer

Austin, TX · On-site

$170K - $250K/yr

You'll join the platform team behind our Azure AI/ML engineering tools, partnering closely with data scientists, LLM engineers, and MLOps teams to keep GPU-heavy training and simulation workloads ...

Software Developer - Entry Level Category: Software Development/ Engineering Main location: United ... You'll gain hands-on experience with modern development practices and AI-enabled workflows while ...

AI Software Engineer Work Model: Dallas, TX | Austin, TX | San Francisco, CA (Onsite-4 Days ... Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) * Knowledge of APIs ...

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Entry Level Azure Ai Engineer information

See Austin, TX salary details

$23.8K

$103.9K

$187.3K

How much do entry level azure ai engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for entry level azure ai engineer in Austin, TX is $103,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $118,900.00 per year, depending on experience, location, and employer.

What does an entry level Azure AI engineer do?

An Entry Level Azure AI Engineer is responsible for developing, deploying, and maintaining artificial intelligence solutions using Microsoft Azure's AI services and tools. They typically work on tasks such as building machine learning models, integrating AI APIs, and supporting cloud-based AI applications under the guidance of more experienced engineers. Their role often includes data preparation, testing AI solutions, and ensuring that AI models run efficiently and securely on Azure infrastructure. This position is ideal for those with foundational knowledge in AI, programming, and cloud computing who are looking to grow their skills in a real-world environment. Entry level engineers often collaborate with data scientists, developers, and project managers to deliver AI-driven solutions for various business needs.

What are the key skills and qualifications needed to thrive as an entry level Azure AI engineer?

To thrive as an Entry Level Azure AI Engineer, you need foundational experience in programming (such as Python or C#), understanding of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with Microsoft Azure services (like Azure Machine Learning, Cognitive Services), and certifications such as Microsoft Certified: Azure AI Engineer Associate are highly valued. Problem-solving skills, attention to detail, and effective communication help you collaborate with teams and explain AI solutions to stakeholders. These abilities ensure you can build, deploy, and maintain AI solutions efficiently in cloud-based environments, meeting business needs.

What are some common challenges faced by entry level Azure AI engineers when transitioning from academic projects to real-world applications?

Entry Level Azure AI Engineers often find that real-world projects involve integrating AI models with existing business systems and handling larger, messier datasets than those used in academic settings. Challenges may include learning to work with Azure-specific tools, collaborating with cross-functional teams, and meeting production-level reliability and scalability requirements. New hires also need to quickly adapt to agile development cycles and ongoing feedback, which can differ significantly from the more controlled pace of academic projects.

What is the difference between Entry Level Azure Ai Engineer vs Data Scientist?

AspectEntry Level Azure Ai EngineerData Scientist
Required CredentialsAzure certifications, basic programming skillsStatistics, programming, often a master's degree
Work EnvironmentCloud platforms, AI development teamsData analysis, research, modeling
Industry UsageTech, cloud services, AI projectsFinance, healthcare, tech, research

While both roles involve working with data and AI, an Entry Level Azure Ai Engineer focuses on deploying AI solutions on Azure cloud platforms, requiring cloud certifications and programming skills. A Data Scientist primarily analyzes data, builds models, and may not require cloud-specific certifications. The roles overlap in data handling but differ in technical focus and work environment.

What are the most commonly searched types of Azure Ai Engineer jobs in Austin, TX?

The most popular types of Azure Ai Engineer jobs in Austin, TX are:

What are popular job titles related to Entry Level Azure Ai Engineer jobs in Austin, TX?

For Entry Level Azure Ai Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Azure Ai Engineer jobs in Austin, TX look for?

The top searched job categories for Entry Level Azure Ai Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Entry Level Azure Ai Engineer jobs?

Cities near Austin, TX with the most Entry Level Azure Ai Engineer job openings:

Infographic showing various Entry Level Azure Ai Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $103,941 per year, or $50 per hour.

$8.4K - $11K/mo

Full-time

Medical, Retirement, PTO

Posted 21 days ago


Texas Health and Human Services rating

6.9

Company rating: 6.9 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

680th of 854 rated public administrative organizations


Job description

Join the Texas Health and Human Services Commission (HHSC) and be part of a team committed to creating a positive impact in the lives of fellow Texans. At HHSC, your contributions matter, and we support you at each stage of your life and work journey. Our comprehensive benefits package includes 100% paid employee health insurance for full-time eligible employees, a defined benefit pension plan, generous time off benefits, numerous opportunities for career advancement and more. Explore more details on the Benefits of Working at HHS webpage.
Functional Title: AI Engineer Job Title: Systems Analyst VII Agency: Health & Human Services Comm Department: Chief Technology Office EI 3b Posting Number: 20239 Closing Date: 09/17/2026 Posting Audience: Internal and External Occupational Category: Computer and Mathematical Salary Range: $8,488.33- $11,666.66 Pay Frequency: MonthlySalary Group: TEXAS-B-29 Shift: Day Additional Shift: Days (First) Telework: Travel: Regular/Temporary: Regular Full Time/Part Time: Full time FLSA Exempt/Non-Exempt: Exempt Facility Location: Job Location City: AUSTIN Job Location Address: 701 W 51ST ST Other Locations: MOS Codes: 0171,8848,8858,181X,182X,1D7X1,255A,255S,25B,25D,25H,26B,62E,681X,682X,781X,CTI,CTM,CTR,CYB10,CYB11
ISM,IT,Z Prefix
This position is open to U.S. Citizens and permanent residents.
This onsite role requires the selected candidate to work from an HHS office in Austin, Texas.
Performs highly complex computer systems analysis and AI engineering work for the CTO team. Work involves designing, engineering, configuring, and implementing data pipelines, AI agents, orchestration workflows, retrieval patterns, reusable AI services, secure integrations, and automation capabilities that support enterprise modernization and responsible AI innovation. The position helps translate business and technical needs into scalable AI-enabled solutions by preparing governed data sources, developing reusable components, evaluating model and prompt performance, supporting secure access controls, and documenting repeatable implementation patterns. The position also supports responsible AI practices, solution monitoring, technical standards alignment, and collaboration with architecture, cloud, data, security, privacy, and application teams to deliver reliable, maintainable, and agency-owned enterprise technology capabilities.
Works under general supervision, with moderate latitude for the use of initiative and independent judgment.
Essential Job Functions (EJFs):
Designs, develops, and implements AI agents, orchestration workflows, reusable AI services, prompt management solutions, API integrations, and automation components using approved cloud services, Python frameworks, and AI toolchains to support modernization, service delivery improvement, and responsible AI innovation. 45%
Designs and modifies secure data ingestion structures, retrieval-augmented generation (RAG) vector stores, embeddings, semantic search patterns, metadata strategies, and automated processing pipelines to provide AI solutions with clean, structured, governed, and access-controlled agency data. 30%
Evaluates, tests, and tunes AI model performance, agent behavior constraints, prompt effectiveness, retrieval quality, guardrails, auditability, and solution reliability to support security, privacy, compliance, accessibility, and approved system requirements. 15%
Prepares technical documentation, implementation notes, architecture diagrams, data flow diagrams, operational runbooks, and decision support materials; provides technical guidance to staff and project teams on AI integration, reuse, supportability, and secure modernization practices. 5%
Performs other duties as assigned 5%
Knowledge, Skills and Abilities (KSAs):
  • Knowledge:
    • Thorough knowledge of Python programming and object-oriented software patterns.
    • Thorough knowledge of modern AI frameworks, such as LangChain, LlamaIndex, and CrewAI, and cognitive orchestration architecture patterns.
    • Thorough knowledge of AI platforms and services offered by cloud service providers, such as Azure, AWS, and Google.
    • Thorough knowledge of vector and graph databases, such as Pinecone, Chroma, pgvector, and Neo4j, text embeddings, and semantic index optimization.
    • Thorough knowledge of enterprise data security regulations, data masking, and access management within state processing systems.
  • Skills:
    • Strong skill in configuring secure ETL/ELT pipelines to structure, clean, and securely ingest large sets of semi-structured and unstructured data.
    • Strong skill in building stateful, autonomous AI agents, establishing logic guardrails, and managing programmatic prompt lifecycles.
    • Strong skill in debugging asynchronous code flows, multi-threaded worker routines, and API call limits within complex codebases.
  • Abilities:
    • Ability to systematically benchmark AI systems for precision, context recall, safety, and toxicity using automated evaluation tools.
    • Ability to translate multi-agent AI patterns into clear technical flowcharts and data maps.
    • Ability to provide technical guidance and support developers through complex pipeline refactoring assignments.

Registrations, Licensure Requirements or Certifications:
None
Initial Screening Criteria:
  • Graduation from an accredited four-year college or university with major coursework in computer science, data engineering, artificial intelligence, or a related field. Experience may substitute for education on a year-for-year basis.
  • Minimum of 4 years of experience in data engineering, programming, or supporting AI or LLM-based solutions.
  • preferred to have experience with AI or ML

Additional Information:
Any employment offer is contingent upon available budgeted funds. The offered salary will be determined in accordance with budgetary limits and the requirements of HHSC Human Resources Manual.
Selected candidates must be legally authorized to work in the U.S. without sponsorship.
Selected candidate must be willing to commute to the office on the required days.
#LI-MH1
Review our Tips for Success when applying for jobs at DFPS, DSHS and HHSC.
Active Duty, Military, Reservists, Guardsmen, and Veterans:
Military occupation(s) that relate to the initial selection criteria and registration or licensure requirements for this position may include, but not limited to those listed in this posting. All active-duty military, reservists, guardsmen, and veterans are encouraged to apply if qualified to fill this position. For more information please see the Texas State Auditor's Job Descriptions, Military Crosswalk and Military Crosswalk Guide at Texas State Auditor's Office - Job Descriptions.
ADA Accommodations:
In compliance with the Americans with Disabilities Act (ADA), HHSC and DSHS agencies will provide reasonable accommodation during the hiring and selection process for qualified individuals with a disability. If you need assistance completing the on-line application, contact the HHS Employee Service Center at 1-888-894-4747. If you are contacted for an interview and need accommodation to participate in the interview process, please notify the person scheduling the interview.
Pre-Employment Checks and Work Eligibility:
Depending on the program area and position requirements, applicants selected for hire may be required to pass background and other due diligence checks.
HHSC uses E-Verify. You must bring your I-9 documentation with you on your first day of work. Download the I-9 Form
Telework Disclaimer:
This position may be eligible for telework. Please note, all HHS positions are subject to state and agency telework policies in addition to the discretion of the direct supervisor and business needs.

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