AI Data Engineer Jobs in Austin, TX
AI Data Engineer jobs in Austin, Texas are concentrated in the Domain, Downtown, and the East Austin tech corridor, with strong demand across cloud platforms, fintech, and enterprise software. Employers actively hiring include Apple, AMD, and HEB. Scan the live roles below and apply to whichever ones fit.
Find AI Data Engineer JobsOverview
Open roles120+
Top employerApple
Work type44% Remote
Top credentialBachelor's degree
Companies hiring17
Showing 5 of 120+ AI Data Engineer jobs
Senior Consultant, Data Science & AI
We won't show you this job again
Added 1d ago
TTEC Digital
Senior Consultant, Data Science & AI
Austin, Texas
Added 1d ago
Director - Data Architect (Microsoft Data & AI)
We won't show you this job again
Added 1d ago
TTEC Digital
Director - Data Architect (Microsoft Data & AI)
Austin, Texas
Added 1d ago
V
Artificial Intelligence Engineer
We won't show you this job again
V
Added 2d ago
VA Simplified
Artificial Intelligence Engineer
Austin, Texas
Added 2d ago
Senior Product Manager, Data & AI Products
We won't show you this job again
Added 3d ago
News Corp
Senior Product Manager, Data & AI Products
Austin, Texas
Added 3d ago
Senior Product Manager, Data & AI Products
We won't show you this job again
Added 3d ago
Realtor.com
Senior Product Manager, Data & AI Products
Austin, Texas
Added 3d ago
Added 1d ago
Senior Consultant, Data Science & AI
TTEC Digital·Austin, Texas
Job functions:
$120k - $135k/yr
Remote (US)
1,001-5,000 employees
Job Description
At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.
The position of Senior Consultant - Data Science & AI is within the TTEC Digital Analytics team. The Analytics group is responsible for Data Science, Advanced Analytics, Generative AI, and Engineering projects that include the design and validation of predictive models, building scalable machine learning pipelines, engineering autonomous agentic workflows, and leveraging enterprise Gen AI (LLMs, RAG architectures) to convert raw, unstructured client data into actionable insights that drive strategic business decision-making.
Our Data Science & AI Consultants work directly with external clients, Data Engineers, Project Leads, and Managers on implementation, migration, and advanced analytics deployment projects.
Key responsibilities
- Develop Machine Learning Models: End-to-end development, training, and deployment of production-grade predictive and prescriptive models (e.g., propensity modeling, customer segmentation, demand forecasting).
- Design & Deploy Generative AI Solutions: Architect, fine-tune, and evaluate enterprise Gen AI systems—including Retrieval-Augmented Generation (RAG) pipelines, custom LLM applications, and prompt engineering frameworks—to extract insights from unstructured data.
- Architect Agentic AI Systems: Design and deploy autonomous AI agents and multi-agent workflows capable of multi-step reasoning, tool utilization, and task automation to solve complex client business challenges.
- Deliver Advanced Analytics: Help clients maximize the efficiency of their strategic initiatives by building advanced analytics models that measure campaign performance, predict customer behavior, and maximize long-term ROI.
- Data Storytelling & Visualization: Synthesize complex algorithmic outcomes and machine learning metrics into compelling, executive-ready presentations and dashboards that clearly articulate business value and ROI.
- Develop and Maintain Analytics Workflows: Analyze raw client data and build optimized analytics datasets within cloud environments to support modeling and reporting.
- Lead workshops with external clients to uncover business objectives, map out data landscapes, and translate vague business problems into structured data science methodologies.
- Create solutions and design documentation for client data science architectures and ML pipelines.
- Work on projects independently as well as being part of a large team across multiple client engagements.
- Crosstrain Junior Data Scientists/Analysts or other team members with your area of expertise, providing technical leadership and code reviews.
- Further develop skills both on the job and through formal learning channels to stay ahead of AI/ML trends.
- Assist in pre-sales activities by scoping new client opportunities and providing accurate work/effort estimates.
Skills and Experience Requirements
- Post-Secondary Degree (or Diploma) related to Data Science, Statistics, Computer Science, Economics, Business Analytics, or an IT-related field.
- 5–8 years of total experience in Data Science, Advanced Analytics, or Management Consulting.
- 3+ years of experience in an external client-facing consulting or professional services capacity.
- 3+ years of application, model design, and deployment experience natively within a cloud environment (GCP preferred).
- 1–2+ years of hands-on experience architecting and deploying Generative AI systems (e.g., RAG pipelines, fine-tuned LLMs) and Agentic AI workflows (e.g., autonomous agents, tool-use integration).
- Demonstrated experience delivering both traditional predictive models and modern AI solutions to enterprise stakeholders.
- Google Cloud Certified Professional Data Engineer, Professional Machine Learning Engineer, or equivalent Generative AI/Cloud Certifications (Highly Preferred).
- Python Stack: pandas, numpy, scikit-learn, XGBoost, PyTorch/TensorFlow, Transformers
- Generative & Agentic AI Frameworks: LangChain, LlamaIndex, AutoGen/CrewAI, Prompt Engineering, RAG architectures, Multi-Agent Orchestration, Function Calling & Tool Integration
- Vector Databases & Search: BigQuery Vector Search, Google Cloud Vector Search, Pinecone, Chroma, or FAISS
- SQL: Advanced query optimization for large-scale data warehouses
- Google Cloud Platform (Core focus): Gemini Enterprise, Vertex AI Agent Builder, BigQuery ML, Model Garden (Model development, fine-tuning, and deployment)
- Data Engineering & Orchestration: BigQuery, Dataflow, and Cloud Storage for data extraction, pipeline management, and indexing
- BI & Data Visualization Tools: Looker / Looker Studio, Tableau, or Power BI
- MarTech/AdTech Ecosystems
- Agile/Scrum Methodologies
- CI/CD & MLOps/LLMOps: Version control, automated deployment pipelines, LLM evaluation, and model monitoring tools
- Personal: Strong interpersonal skills, high energy and enthusiasm, integrity, and honesty; flexible, results-oriented, resourceful, structured problem-solving ability, deal effectively with difficult client situations, ability to prioritize.
- Leadership: Ability to gain credibility, motivate, and provide leadership; work with a diverse external customer base; maintain a positive attitude. Provide technical support and guidance to more junior team members, particularly for challenging modeling or analytical assignments.
- Operations: Commercial acumen and ability to manage multiple projects simultaneously. Perform tasks in a client-friendly manner while utilizing time and resources efficiently, proactively managing project scope.
- Technical: Ability to understand, translate, and communicate highly complex technical and mathematical concepts to non-technical business stakeholders.
#LI-BN1
This position is eligible to participate in an annual incentive program. Actual compensation offered to a candidate may vary based upon geographic location, work experience, education and/or skill levels.
Benefits available to eligible employees include the following:
- Medical, dental, vision
- tax-advantaged health care accounts
- financial and income protection benefits
- paid time off (PTO) and wellness time off.
This job posting will remain open until we have identified an adequate applicant pool. Applicants are strongly encouraged to apply early.
About Us
TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.
We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.
TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.
Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications.
#LI-Remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
TTEC Digital
Senior Consultant, Data Science & AI
Austin, Texas
Added 1d ago1,001-5,000 employees
Job functions:
$120k - $135k/yr
Remote (US)
Job Description
At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.
The position of Senior Consultant - Data Science & AI is within the TTEC Digital Analytics team. The Analytics group is responsible for Data Science, Advanced Analytics, Generative AI, and Engineering projects that include the design and validation of predictive models, building scalable machine learning pipelines, engineering autonomous agentic workflows, and leveraging enterprise Gen AI (LLMs, RAG architectures) to convert raw, unstructured client data into actionable insights that drive strategic business decision-making.
Our Data Science & AI Consultants work directly with external clients, Data Engineers, Project Leads, and Managers on implementation, migration, and advanced analytics deployment projects.
Key responsibilities
- Develop Machine Learning Models: End-to-end development, training, and deployment of production-grade predictive and prescriptive models (e.g., propensity modeling, customer segmentation, demand forecasting).
- Design & Deploy Generative AI Solutions: Architect, fine-tune, and evaluate enterprise Gen AI systems—including Retrieval-Augmented Generation (RAG) pipelines, custom LLM applications, and prompt engineering frameworks—to extract insights from unstructured data.
- Architect Agentic AI Systems: Design and deploy autonomous AI agents and multi-agent workflows capable of multi-step reasoning, tool utilization, and task automation to solve complex client business challenges.
- Deliver Advanced Analytics: Help clients maximize the efficiency of their strategic initiatives by building advanced analytics models that measure campaign performance, predict customer behavior, and maximize long-term ROI.
- Data Storytelling & Visualization: Synthesize complex algorithmic outcomes and machine learning metrics into compelling, executive-ready presentations and dashboards that clearly articulate business value and ROI.
- Develop and Maintain Analytics Workflows: Analyze raw client data and build optimized analytics datasets within cloud environments to support modeling and reporting.
- Lead workshops with external clients to uncover business objectives, map out data landscapes, and translate vague business problems into structured data science methodologies.
- Create solutions and design documentation for client data science architectures and ML pipelines.
- Work on projects independently as well as being part of a large team across multiple client engagements.
- Crosstrain Junior Data Scientists/Analysts or other team members with your area of expertise, providing technical leadership and code reviews.
- Further develop skills both on the job and through formal learning channels to stay ahead of AI/ML trends.
- Assist in pre-sales activities by scoping new client opportunities and providing accurate work/effort estimates.
Skills and Experience Requirements
- Post-Secondary Degree (or Diploma) related to Data Science, Statistics, Computer Science, Economics, Business Analytics, or an IT-related field.
- 5–8 years of total experience in Data Science, Advanced Analytics, or Management Consulting.
- 3+ years of experience in an external client-facing consulting or professional services capacity.
- 3+ years of application, model design, and deployment experience natively within a cloud environment (GCP preferred).
- 1–2+ years of hands-on experience architecting and deploying Generative AI systems (e.g., RAG pipelines, fine-tuned LLMs) and Agentic AI workflows (e.g., autonomous agents, tool-use integration).
- Demonstrated experience delivering both traditional predictive models and modern AI solutions to enterprise stakeholders.
- Google Cloud Certified Professional Data Engineer, Professional Machine Learning Engineer, or equivalent Generative AI/Cloud Certifications (Highly Preferred).
- Python Stack: pandas, numpy, scikit-learn, XGBoost, PyTorch/TensorFlow, Transformers
- Generative & Agentic AI Frameworks: LangChain, LlamaIndex, AutoGen/CrewAI, Prompt Engineering, RAG architectures, Multi-Agent Orchestration, Function Calling & Tool Integration
- Vector Databases & Search: BigQuery Vector Search, Google Cloud Vector Search, Pinecone, Chroma, or FAISS
- SQL: Advanced query optimization for large-scale data warehouses
- Google Cloud Platform (Core focus): Gemini Enterprise, Vertex AI Agent Builder, BigQuery ML, Model Garden (Model development, fine-tuning, and deployment)
- Data Engineering & Orchestration: BigQuery, Dataflow, and Cloud Storage for data extraction, pipeline management, and indexing
- BI & Data Visualization Tools: Looker / Looker Studio, Tableau, or Power BI
- MarTech/AdTech Ecosystems
- Agile/Scrum Methodologies
- CI/CD & MLOps/LLMOps: Version control, automated deployment pipelines, LLM evaluation, and model monitoring tools
- Personal: Strong interpersonal skills, high energy and enthusiasm, integrity, and honesty; flexible, results-oriented, resourceful, structured problem-solving ability, deal effectively with difficult client situations, ability to prioritize.
- Leadership: Ability to gain credibility, motivate, and provide leadership; work with a diverse external customer base; maintain a positive attitude. Provide technical support and guidance to more junior team members, particularly for challenging modeling or analytical assignments.
- Operations: Commercial acumen and ability to manage multiple projects simultaneously. Perform tasks in a client-friendly manner while utilizing time and resources efficiently, proactively managing project scope.
- Technical: Ability to understand, translate, and communicate highly complex technical and mathematical concepts to non-technical business stakeholders.
#LI-BN1
This position is eligible to participate in an annual incentive program. Actual compensation offered to a candidate may vary based upon geographic location, work experience, education and/or skill levels.
Benefits available to eligible employees include the following:
- Medical, dental, vision
- tax-advantaged health care accounts
- financial and income protection benefits
- paid time off (PTO) and wellness time off.
This job posting will remain open until we have identified an adequate applicant pool. Applicants are strongly encouraged to apply early.
About Us
TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.
We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.
TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.
Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications.
#LI-Remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
See All 120+ AI Data Engineer Jobs in Austin
Find roles in Austin that match your experience and apply in just a few clicks.
Find AI Data Engineer JobsAI Data Engineer Job Market in Austin
Who's Hiring
- Apple41
- AMD15
- HEB8
- TTEC Digital8
- RSM4
Top Industries Hiring
- Electronics & Hardware
- Banking & Financial Services
AI Data Engineer Jobs in Austin: Frequently Asked Questions
How do I get a ai data engineer job in Austin?
Target Austin's densest hiring pockets first: the Domain's enterprise tech campus cluster, Downtown fintech firms, and East Austin's growing startup scene. Companies here weight hands-on experience with cloud-native pipelines, LLM integration, and tools like Apache Spark or dbt. Candidates who can show shipped ML data infrastructure or real-time pipeline work move faster through Austin hiring loops than those with only academic projects.
Which companies hire ai data engineers in Austin?
Companies currently hiring ai data engineers in Austin include Apple, AMD, and HEB, per current listings on Migrate Mate as of September 2026. Austin's market skews toward enterprise SaaS, semiconductor, and financial technology employers, many headquartered or with large engineering hubs in the Domain or along the 183 Tech Corridor.
Are there remote ai data engineer jobs in Austin?
Yes, and ai data engineering is relatively remote-friendly given that the work is largely cloud-based and pipeline-driven. About 76% of ai data engineer openings tied to Austin are remote or hybrid as of September 2026, with fully remote roles most common at SaaS and fintech employers. On-site requirements tend to apply to roles involving sensitive data infrastructure or embedded ML teams at semiconductor companies.
How can I get a ai data engineer job in Austin with little or no experience?
The most realistic entry path in Austin is landing a data engineer or analytics engineer role at one of the city's mid-size SaaS or fintech companies, then moving into AI-focused work once you have pipeline experience. Austin employers like IBM, Dell, and early-stage startups in the East Austin corridor regularly hire junior data engineers. Building a portfolio with dbt, Airflow, or a public LLM pipeline project on GitHub gives local hiring managers something concrete to evaluate.
Which industries hire the most ai data engineers in Austin?
The sectors hiring the most ai data engineers in Austin are Electronics & Hardware and Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. Austin's position as a semiconductor, enterprise software, and financial technology hub means demand for engineers who can connect large-scale data infrastructure to production AI systems is consistently high across those verticals.
See All 120+ AI Data Engineer Jobs in Austin
Find roles in Austin that match your experience and apply in just a few clicks.
Find AI Data Engineer Jobs