AIGen AI developer W2 ONLY US Citizen OR GC only

United Global Technologies; Houston (TX); In loco; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

United Global Technologies, Inc. seeks a Senior Tech Lead – Software Engineering & AI to guide design, development, deployment and ongoing operation of production-grade AI-enabled software.

You will lead the 50/50 effort across modern engineering practices and practical GenAI delivery, while mentoring engineers and ensuring scalable, secure solutions. You will drive architecture, APIs, cloud-native patterns, CI/CD, and observability, collaborating with cross-functional teams to deliver reliable

Competenze

• 8+ years of industry experience delivering hands-on software and AI-enabled products.
• Experience Python, Java, JavaScript/TypeScript and APIs/microservices.
• Hands-on Kubernetes/cloud-native delivery and CI/CD.
• Experience architecting production AI-enabled apps and mentoring teams.

Mansioni

• Design, build, and deploy production-grade applications and services embedding AI/GenAI capabilities securely, scalably, and maintainably.
• Build and evolve core engineering foundations including APIs, reusable services, cloud-native deployment patterns, CI/CD pipelines, monitoring, and operational support for AI-enabled products.
• Collaborate with platform, infrastructure, data engineering, and DevSecOps teams to improve deployment velocity, runtime resilience, security controls, and engineering efficiency.
• Lead the technical direction of software engineering and AI initiatives with balanced focus on architecture, quality, and AI delivery.
• Mentor software and AI engineers, raising coding standards, system design, testing, and delivery practices.

Conoscenze

Python

Java

JavaScript/TypeScript

APIs

Microservices

Kubernetes

Cloud-native

CI/CD

ML

GenAI

RAG

JVM-based technologies

Formazione

Bachelor's/Master's/PhD in Computer Science, Software Engineering, Engineering, Data Science, or related technical discipline

Strumenti

JVM-based technologies

Cloud platforms

Descrizione del lavoro

NO SUBS, NO Sponsorship, NO subcontract companies.

Senior technical lead with 8+ years of hands-on software engineering plus production AI/GenAI delivery.

Must have strong Python/Java/JavaScript/TypeScript, APIs/microservices, Kubernetes/cloud-native architecture and CI/CD experience, along with hands-on ML, GenAI and RAG implementation.

Must have experience architecting and operating production-grade AI-enabled applications and leading/mentoring engineers.

Automatic rejections reasons candidate not qualified for this role/team:

• AI/ML research or data science only; GenAI/LLM experience limited to POCs;
• software engineers with no production AI/GenAI experience; prompt engineering only;
• no Kubernetes/cloud-native experience;
• no API/microservices architecture; primarily managerial candidates who are no longer hands-on;
• junior/mid-level engineers

• The Sr Tech Lead – Software Engineering & AI will join a vibrant team within the Trading & Supply Capability Center (CC) in the IT Digital Engineering VPship. This role is accountable for leading the design, development, deployment, and ongoing operation of production-grade digital products that combine strong software engineering foundations with applied AI and GenAI capabilities. The role carries a balanced 50:50 focus: driving modern software engineering practices across architecture, APIs, platforms, cloud-native delivery, reliability, and security, while also shaping the practical use of machine learning, GenAI, RAG, and intelligent automation to solve business problems across multiple lines of business. The successful candidate will be responsible for delivering scalable, maintainable, and governed solutions that meet quality standards and can be operated confidently in production.

• Design, build, and deploy production-grade applications and services that embed AI and GenAI capabilities in a secure, scalable, and maintainable way.
• Build and evolve core engineering foundations including APIs, reusable services, cloud-native deployment patterns, CI/CD pipelines, monitoring, and operational support for AI-enabled products.
• Work closely with platform, infrastructure, data engineering, and DevSecOps teams to improve deployment velocity, runtime resilience, security controls, and engineering efficiency.
• Lead the technical direction of software engineering and AI initiatives, ensuring a balanced focus on product architecture, engineering quality, and applied AI delivery.
• Mentor software engineers and AI engineers, raising the bar on coding standards, system design, testing, delivery practices, and responsible use of AI technologies.
• Define engineering and evaluation practices that ensure software quality, model quality, reliability, performance, observability, and compliance for AI tooling and services.
• Guide the strategic adoption of AI and GenAI by identifying high-value opportunities and turning them into robust engineering outcomes that can scale across the enterprise.
• Partner with Product Management and business stakeholders to translate requirements into well-architected software solutions, AI-enabled workflows, and delivery roadmaps.
• Stay current with emerging software engineering and AI practices, continuously improving delivery approaches, technical standards, and relationships across Shell, industry, and academia.
• Contribute to technical communities of practice and centers of excellence, helping to strengthen engineering capability, reusable patterns, and responsible AI adoption.

• Professional Qualifications & Skills
• Educational Qualification
• Bachelor's, Master's, or PhD degree in Computer Science, Software Engineering, Engineering, Data Science, Machine Learning, or a related technical discipline.
• Minimum 8+ years of industry experience, including significant hands-on delivery across both software engineering and AI/ML-enabled product development.
• Required Skills
• Strong experience delivering production-grade digital products with a balanced focus on modern software engineering and applied AI/GenAI.
• 8+ years of development experience across relevant languages, frameworks, and tooling such as Python, Java, JavaScript/TypeScript, JVM-based technologies, APIs, event-driven systems, and cloud-native platforms.
• Strong software engineering fundamentals including system design, clean code practices, testing strategies, code reviews, version control, and maintainable architecture.
• Hands-on experience building, deploying, and monitoring applications on Kubernetes and related cloud-native infrastructure.
• Experience designing and operating scalable services, APIs, microservices, or platform components with strong attention to reliability, performance, and security.
• Practical experience designing, developing, deploying, and monitoring machine learning and GenAI | Software Design, Software Engineering Management, Software Engineering Process