Applied AI Engineer Jobs in Houston, TX
Applied AI Engineer jobs in Houston, Texas are in active demand, with employers like Capgemini, Crown Castle, and CORVA among those hiring. Scan the live roles below and apply to whichever ones fit.
Find Applied AI Engineer JobsOverview
Open roles15
Top employerCapgemini
Work type40% On-site
Top credentialBachelor's
Companies hiring13
Showing 5 of 15+ Applied AI Engineer jobs
Forward Deployed Engineer IV, Applied AI, Google Cloud
We won't show you this job again
Added 1mo ago
Google
Forward Deployed Engineer IV, Applied AI, Google Cloud
Houston, Texas
Added 1mo ago
Sr. Reliability Data Scientist
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Added 1w ago
Ascend Performance Materials
Sr. Reliability Data Scientist
Houston, Texas
Added 1w ago
Lead Data Scientist, Data & Analytics
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Added 1w ago
Motiva Enterprises LLC
Lead Data Scientist, Data & Analytics
Houston, Texas
Added 1w ago
Data Scientist Engineer - SFL Scientific
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Added 3w ago
Deloitte
Data Scientist Engineer - SFL Scientific
Houston, Texas
Added 3w ago
Business Data Scientist Sr/Lead
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Added 3w ago
Williams
Business Data Scientist Sr/Lead
Houston, Texas
Added 3w ago
Added 1mo ago
Forward Deployed Engineer IV, Applied AI, Google Cloud
Google·Houston, Texas
Job functions:
$207k - $301k/yr
8+ yrs exp.
Master's
Full Time
10,000+ employees
Job Description
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
The application window will be open until at least June 7, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Detroit, MI, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Miami, FL, USA; New York, NY, USA; Portland, OR, USA; Reston, VA, USA; San Diego, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA; Ann Arbor, MI, USA; Houston, TX, USA; Madison, WI, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA.
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
The application window will be open until at least June 7, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Detroit, MI, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Miami, FL, USA; New York, NY, USA; Portland, OR, USA; Reston, VA, USA; San Diego, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA; Ann Arbor, MI, USA; Houston, TX, USA; Madison, WI, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA.
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience with software development using Python or similar coding languages.
- Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking.
- Experience building full-stack applications that interact with enterprise IT infrastructures and developing external customer projects.
- Experience architecting AI systems on cloud platforms (e.g., Google Clloud Platform (GCP).
Preferred qualifications:
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks like ReAct and self-reflection.
- Experience debugging agent logic and optimizing tool selection, including tracing conversation identifications (IDs) across microservices to identify and resolve failures in real-time.
- Experience connecting agents to enterprise knowledge bases and optimizing retrieval-augmented Generation (RAG) chunking to prevent hallucinations.
- Track record of troubleshooting live, high-traffic systems during critical windows.
- Ability to travel up to 50% of the time.
About the job
As a Forward Deployed Engineer (FDE) in Applied AI, you will be the Agent Engineer and the primary driver for our customers' most critical AI initiatives. You will take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering lifecycle, including the transition from art of the possible to real-world business value and scalable, secure AI systems. This is a high-travel, role focused on leading technical delivery for conversational AI pilots and establishing the first customer user journeys (CUJs) for our largest customers at their sites. You will have an understanding of software engineering, Machine Learning operations, and cloud infrastructure.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Serve as the lead developer for conversational AI and customer experience applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
- Architect and code conversational flows that are functional, and optimized for the connective tissue between Google’s conversational AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters.
- Build high-performance evaluation pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.
- Identify repeatable field patterns and technical friction points in Google’s Applied Artificial Intelligence (AAI) stack, converting them into reusable modules or product feature requests for Engineering teams.
- Co-build with customer engineering teams to instill Google-grade development best practices, ensuring project success and end-user adoption.
Google
Forward Deployed Engineer IV, Applied AI, Google Cloud
Houston, Texas
Added 1mo ago10,000+ employees
Job functions:
$207k - $301k/yr
8+ yrs exp.
Master's
Full Time
Job Description
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
The application window will be open until at least June 7, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Detroit, MI, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Miami, FL, USA; New York, NY, USA; Portland, OR, USA; Reston, VA, USA; San Diego, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA; Ann Arbor, MI, USA; Houston, TX, USA; Madison, WI, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA.
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
The application window will be open until at least June 7, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Detroit, MI, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Miami, FL, USA; New York, NY, USA; Portland, OR, USA; Reston, VA, USA; San Diego, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA; Ann Arbor, MI, USA; Houston, TX, USA; Madison, WI, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA.
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience with software development using Python or similar coding languages.
- Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking.
- Experience building full-stack applications that interact with enterprise IT infrastructures and developing external customer projects.
- Experience architecting AI systems on cloud platforms (e.g., Google Clloud Platform (GCP).
Preferred qualifications:
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks like ReAct and self-reflection.
- Experience debugging agent logic and optimizing tool selection, including tracing conversation identifications (IDs) across microservices to identify and resolve failures in real-time.
- Experience connecting agents to enterprise knowledge bases and optimizing retrieval-augmented Generation (RAG) chunking to prevent hallucinations.
- Track record of troubleshooting live, high-traffic systems during critical windows.
- Ability to travel up to 50% of the time.
About the job
As a Forward Deployed Engineer (FDE) in Applied AI, you will be the Agent Engineer and the primary driver for our customers' most critical AI initiatives. You will take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering lifecycle, including the transition from art of the possible to real-world business value and scalable, secure AI systems. This is a high-travel, role focused on leading technical delivery for conversational AI pilots and establishing the first customer user journeys (CUJs) for our largest customers at their sites. You will have an understanding of software engineering, Machine Learning operations, and cloud infrastructure.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Serve as the lead developer for conversational AI and customer experience applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
- Architect and code conversational flows that are functional, and optimized for the connective tissue between Google’s conversational AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters.
- Build high-performance evaluation pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.
- Identify repeatable field patterns and technical friction points in Google’s Applied Artificial Intelligence (AAI) stack, converting them into reusable modules or product feature requests for Engineering teams.
- Co-build with customer engineering teams to instill Google-grade development best practices, ensuring project success and end-user adoption.
See All 15 Applied AI Engineer Jobs in Houston
Find roles in Houston that match your experience and apply in just a few clicks.
Find Applied AI Engineer JobsApplied AI Engineer Job Market in Houston
Who's Hiring
- Capgemini2
- Crown Castle2
- CORVA1
- Google1
- Deloitte1
Top Industries Hiring
- Consulting & Professional Services4
- Technology & Software3
- Energy2
- Accounting & Auditing2
- Media & Entertainment2
Applied AI Engineer Jobs in Houston: Frequently Asked Questions
How many applied AI engineer jobs are there in Houston?
There are 15+ applied AI engineer openings in Houston, Texas on Migrate Mate as of June 2026. New positions post regularly as Houston employers hire.
Which companies hire applied AI engineers in Houston?
Employers hiring applied AI engineers in Houston include Capgemini, Crown Castle, and CORVA, based on current listings on Migrate Mate as of June 2026.
Are there remote applied AI engineer jobs in Houston?
Yes. About 60% of applied AI engineer openings tied to Houston are remote or hybrid as of June 2026. The rest are on-site roles based in and around Houston.
Which industries hire the most applied AI engineers in Houston?
Most applied AI engineer openings in Houston sit in Consulting & Professional Services, Technology & Software, and Energy, per current listings on Migrate Mate as of June 2026.
See All 15 Applied AI Engineer Jobs in Houston
Find roles in Houston that match your experience and apply in just a few clicks.
Find Applied AI Engineer Jobs