AI Consultant Jobs in Texas
AI Consultant jobs in Texas are among the most active in the country, with strong demand from energy, financial services, healthcare, and defense sectors and openings at every level from junior analyst through principal consultant. Austin, Dallas, and Houston lead hiring, with established employers such as ExxonMobil, Dell Technologies, and Deloitte consistently seeking professionals who can deploy machine learning solutions, build AI strategy frameworks, and manage enterprise data platforms. Specializations in generative AI integration, natural language processing, and MLOps are drawing the most consistent interest from Texas employers. Find a role that fits below and apply directly.
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Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.
Recruiting for this role ends on 12/01/2026
Work you'll do
As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.
- Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
- Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
- Analyze business, functional, and technical requirements and translate them into AI-related design requirements, solution designs, workflows, and implementation plans
- Partner with developers and technical teams to build AI-enabled solutions, providing functional guidance and design clarification throughout development and testing
- Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
- Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications, helping translate client needs into technical solution requirements
- Identify delivery risks, track dependencies, and support project execution across cross-functional teams
A successful candidate would possess these skills:
§ Ability to work independently and collaborate as part of a team
§ Effective written and verbal communication skills
§ Meticulous attention to detail and quality of work product
§ Ability to build and sustain professional relationships
§ Ability to lead projects or workstreams
§ Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
§ Strong interpersonal skills and professional demeanor
§ Ability to meet deadlines
§ Ability to provide clear guidance to others
The team
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.
Qualifications
Required:
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
- Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 4+ years of experience with software development using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms (e.g., GCP).
- Experience taking production-grade AI-driven solutions from conception to launch for customers.
- Experience leading technical discovery sessions with customers.
- Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.
- Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
- Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
- Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
- Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
- One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform, Snowflake, Databricks
Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.
Recruiting for this role ends on 12/01/2026
Work you'll do
As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.
- Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
- Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
- Analyze business, functional, and technical requirements and translate them into AI-related design requirements, solution designs, workflows, and implementation plans
- Partner with developers and technical teams to build AI-enabled solutions, providing functional guidance and design clarification throughout development and testing
- Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
- Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications, helping translate client needs into technical solution requirements
- Identify delivery risks, track dependencies, and support project execution across cross-functional teams
A successful candidate would possess these skills:
§ Ability to work independently and collaborate as part of a team
§ Effective written and verbal communication skills
§ Meticulous attention to detail and quality of work product
§ Ability to build and sustain professional relationships
§ Ability to lead projects or workstreams
§ Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
§ Strong interpersonal skills and professional demeanor
§ Ability to meet deadlines
§ Ability to provide clear guidance to others
The team
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.
Qualifications
Required:
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
- Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 4+ years of experience with software development using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms (e.g., GCP).
- Experience taking production-grade AI-driven solutions from conception to launch for customers.
- Experience leading technical discovery sessions with customers.
- Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.
- Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
- Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
- Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
- Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
- One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform, Snowflake, Databricks
See All 60 AI Consultant Jobs in Texas
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Find AI Consultant JobsAI Consultant Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI Consultant Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
- Education
- Technology & Software
- Investment & Asset Management
- Science & Research
What Texas Employers Look For
The qualifications that appear most often in AI consultant jobs across Texas.
- Bachelor's or master's degree in computer science, data science, or a related field
- Hands-on experience designing and deploying machine learning or AI models in production
- Proficiency in Python, cloud platforms such as AWS or Azure, and ML frameworks like TensorFlow
- Ability to translate complex AI solutions into clear recommendations for non-technical stakeholders
- Experience working within energy, healthcare, or financial services environments preferred by Texas employers
- Relevant certifications such as Google Professional Machine Learning Engineer or AWS Certified Machine Learning
AI Consultant Jobs in Texas: Frequently Asked Questions
How do you become a ai consultant in Texas?
AI consulting in Texas has no state-issued license, so the path runs through education and demonstrated technical credentials. Most Texas employers expect a bachelor's degree at minimum, with computer science, data science, or engineering as the preferred fields, and a master's degree strengthens applications at larger firms. Certifications from AWS, Google Cloud, or Microsoft Azure carry real weight with Texas hiring managers. Building a portfolio of deployed projects and gaining experience in one of Texas's dominant sectors, such as energy, healthcare, or financial services, accelerates hiring.
How much do AI consultants make in Texas?
AI consultants in Texas earn a median of about $122,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $64,540 for the lowest 10% to over $170,780 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai consultants in Texas?
Employers hiring ai consultants in Texas right now include Boston Consulting, Deloitte, and Capgemini, based on current listings on Migrate Mate as of September 2026. Texas's concentration of Fortune 500 headquarters, major health systems, and large federal contractors means demand is broad and relatively stable across both enterprise and government-facing engagements.
Which Texas cities have the most ai consultant jobs?
Dallas, Austin, and Houston account for the largest share of ai consultant openings in Texas. Austin's technology industry and startup ecosystem drive a high concentration of roles there, Dallas attracts demand from financial services and corporate headquarters, and Houston's energy sector and growing healthcare corridor generate consistent consulting needs, including for smaller and suburban employers tied to those anchor industries.
Are there remote ai consultant jobs in Texas?
Yes, and more than most fields. About 61% of ai consultant openings tied to Texas are remote or hybrid as of September 2026, reflecting how much of the work involves code, data pipelines, and stakeholder presentations that translate well to distributed teams. The most remote-friendly parts of the role are model development, data analysis, and strategic advisory work, while on-site presence is more common during initial client discovery and implementation phases.
How can I get hired as a ai consultant in Texas with little or no experience?
The most realistic entry path is landing a junior data analyst or associate AI engineer role at a large Texas employer and transitioning into consulting work from there. Companies such as Accenture, IBM, and Deloitte run structured analyst development programs at their Texas offices that accept candidates without direct consulting experience. Building a portfolio of personal or academic AI projects, earning a cloud certification, and targeting internal mobility within technology-heavy Texas employers in energy, healthcare, or financial services are the most effective concrete steps for candidates starting out.
Where can I find and apply to ai consultant jobs in Texas?
You can find and apply to ai consultant jobs in Texas on Migrate Mate, which lists current Texas openings across industries and experience levels. Search the available roles, identify the ones that match your background and target location, and apply directly to the positions that fit.
See All 60 AI Consultant Jobs in Texas
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