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Ai Algorithm Engineer Jobs in Texas (NOW HIRING)

Infosys Limited Digital

Gen AI Engineer

Dallas, TX · On-site

... Generative AI|Prompt Engineering Technical Skills 3 Technology|Machine Learning|Generative AI ... algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready ...

Infosys Limited Digital

Gen AI Engineer

Dallas, TX · On-site

... Generative AI|Prompt Engineering Technical Skills 3 Technology|Machine Learning|Generative AI ... algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready ...

HighRadius

Forward Deployed Engineer

Houston, TX · On-site

Identify and iterate on AI algorithms based on client feedback to reach a final outcome based on a "Value-Driven" design. * KPI Engineering: Define the Key Performance Indicators (KPIs) and target ...

HighRadius

Forward Deployed Engineer

Houston, TX · On-site

Identify and iterate on AI algorithms based on client feedback to reach a final outcome based on a "Value-Driven" design. * KPI Engineering: Define the Key Performance Indicators (KPIs) and target ...

Infosys Limited Digital

Gen AI Engineer

Dallas, TX · On-site

... Generative AI|Prompt Engineering Technical Skills 3 Technology|Machine Learning|Generative AI ... algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready ...

Infosys Limited Digital

Gen AI Engineer

Dallas, TX · On-site

... Generative AI|Prompt Engineering Technical Skills 3 Technology|Machine Learning|Generative AI ... algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready ...

Infosys

Gen AI Python Engineer

Plano, TX · On-site

... algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready ... engineering principles. • Knowledge of MLOps and AI/ML deployment (e.g., SageMaker, Snowflake ...

7-Eleven

Staff Engineer - AI Agents

Irving, TX · On-site

As a Staff AI Engineer specializing in Agents and LLMs, you will: * Lead the design, development ... Conduct deep dives into algorithmic components and systems, ensuring models are optimized for both ...

7-ELEVEN

Staff Engineer - AI Agents

Irving, TX · On-site

As a Staff AI Engineer specializing in Agents and LLMs, you will: * Lead the design, development ... Conduct deep dives into algorithmic components and systems, ensuring models are optimized for both ...

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Ai Algorithm Engineer information

What are some common challenges AI algorithm engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

What are the key skills and qualifications needed to thrive as an AI algorithm engineer?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What is an AI algorithm engineer?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.
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What cities in Texas are hiring for Ai Algorithm Engineer jobs? Cities in Texas with the most Ai Algorithm Engineer job openings:
Ai Algorithm Engineer jobs near you
Infographic showing various Ai Algorithm Engineer job openings in Texas as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.

Quantum Algorithm Scientist (US)

Zapata Quantum

Zapata, TX • On-site

Full-time

Re-posted 16 days ago

Job description

About the role
We are seeking a Quantum Algorithm Scientist to design, analyze, and benchmark quantum algorithms that deliver real-world advantage. The role sits at the intersection of theory and practice-translating problems from domains such as cryptography, chemistry, finance, materials discovery, and defense into concrete quantum circuits, and rigorously evaluating their resource requirements on both near-term and fault-tolerant hardware.
This position offers a high level of individual ownership and is well-suited to scientists who are comfortable working independently within a small, focused team. You will partner with quantum software engineers and domain experts to push the state of the art, with opportunities to publish, contribute to open-source quantum frameworks, and shape deliverables for government and commercial programs. This position is classified as exempt under applicable wage and hour laws.
What you'll do
  • Design, analyze, and optimize quantum algorithms for applications in cryptography, chemistry, finance, materials science, and defense
  • Perform end-to-end resource estimation for quantum workloads on both near-term (NISQ) and fault-tolerant hardware architectures
  • Develop and benchmark novel circuit compilation, error mitigation, and algorithmic primitives
  • Translate customer and domain-specific problems into well-posed quantum computational tasks
  • Contribute to technical reports, peer-reviewed publications, and government program deliverables
  • Work directly with customers to scope, develop, and deliver proof-of-concept engagements that demonstrate quantum value for their use cases
  • Partner with internal software engineers to improve the quality, correctness, and performance of product deliverables
  • Independently analyze complex scientific problems and communicate results clearly to both technical and non-technical audiences

Qualifications
  • PhD in Physics, Computer Science, Applied Mathematics, or a related field
  • Deep understanding of quantum computing fundamentals, including the circuit model, quantum error correction, and complexity theory
  • Broad familiarity with many types of quantum algorithms and primitives (e.g., QPE, VQE, QAOA, Hamiltonian simulation, amplitude amplification, block encoding)
  • Strong mathematical foundations in linear algebra, probability, and numerical methods
  • Track record of peer-reviewed publications, preprints, or equivalent technical output
  • Proficiency in some area of quantum-related programming (e.g., circuit simulation, compilation, resource estimation, or scientific computing)
  • Ability to work independently, scope open-ended problems, and manage deliverables with minimal oversight
  • Familiarity with modern AI tools and a drive to use them to make research and development systems more efficient

Preferred Experience
  • Demonstrated experience shipping software that leverages LLMs, AI agents, or other machine learning components
  • Experience building developer tools, scientific workflows, or research automation that leverages AI to speed up expert work
  • Strong communication skills and comfort collaborating across research and engineering teams

About Zapata Quantum
Zapata Quantum is shaping the future of quantum computing: setting the standards for what's viable, valuable, and worth building. The Company powers quantum applications across cryptography, pharmaceuticals, finance, materials discovery, defense, and beyond, translating cutting-edge research into real-world impact.
Zapata is the only organization to have contributed across every technical area of DARPA's Quantum Benchmarking program, giving it a uniquely comprehensive view of what it takes to make quantum computing work in practice. Now restructured and sharply focused, Zapata Quantum stands alone as the only publicly traded, pure-play quantum software company fully dedicated to unlocking quantum's commercial potential.
We're rebuilding at a pivotal moment for the industry-bringing together a team that will help define how quantum delivers value in the real world, with the opportunity for meaningful ownership as we shape the commercial path forward.

Apply