> Markdown version of [/jobs/ext/3015643-ai-ml-lead-engineer-generative-ai-cloud-platform-experience](https://www.wearedevelopers.com/jobs/ext/3015643-ai-ml-lead-engineer-generative-ai-cloud-platform-experience). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Lead Engineer - Generative AI & Cloud Platform experience - **Company:** Technosoft Corporation - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Cloud Computing, Cloud Engineering, Continuous Delivery, Continuous Integration, Information Engineering, Data Governance, DevOps, Amazon DynamoDB, Github, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), Machine Learning, Scala (Programming Language), Search Technologies, Software Engineering, SQL Databases, Data Logging, Scripting, Spring Cloud, Snowflake, Prompt Engineering, Generative AI, Git, Cloudformation, Fastapi, Containerization, Data Lakes, Pyspark, Git Flow, Kubernetes, Deployment Automation, Apache Kafka, Machine Learning Operations, Restful APIs, Terraform, Docker, Jenkins, Amazon Redshift, Databricks - **Published:** September 20, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-ml-engineer-santa-clara-ca--80332ff6-604b-485e-b36d-3bf5a01b8f09 ## About the Role Experienced AI/ML and Data Engineering leader with 15+ years of software engineering experience and 5+ years building enterprise AI, Machine Learning, Generative AI, and cloud-native solutions. Strong hands-on expertise in designing and deploying production-scale AI platforms, RAG systems, AI Agents, MLOps frameworks, and cloud-native applications on AWS., Amazon Web Services (AWS), Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Asset Management, Automation, Biology, Business Transformation, Cloud Applications, Cloud Architecture, Cloud Computing, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Data Science, DevOps, Diversity, Engineering, Flexible Spending Accounts, Green Business, Healthcare, Internet of Things, Leadership, Machine Learning, Mentoring, Product Engineering, Python Programming/Scripting Language, Quality Engineering, Semantic Search, Software Development, Software Engineering, Technical Leadership, User Interface/Experience (UI/UX) ## Description This role is primarily a 70% hands-on Individual Contributor and 30% technical leadership position. The engineer is expected to design, build, deploy, and optimize enterprise AI solutions while mentoring teams and coordinating with business, product, and engineering stakeholders., Build GenAI applications using OpenAI, Claude, Gemini, Llama, and AWS Bedrock. Develop RAG solutions, AI Agents, semantic search, prompt engineering frameworks, and MLOps pipelines. Create scalable APIs using Python and FastAPI. Design cloud-native architecture using AWS services and implement CI/CD automation. Core Technical Skills Python, Java, SQL, Scala; OpenAI, Claude, Gemini, Llama, LangChain, LangGraph, RAG, AI Agents; SageMaker, Bedrock, Lambda, ECS, EKS, S3, DynamoDB, Redshift; Databricks, PySpark, Snowflake, Delta Lake, Kafka, Airflow; Docker, Kubernetes, Git, GitHub Actions, Jenkins, Terraform, CloudFormation. Infrastructure & DevOps: Lead Infrastructure as Code implementations using Terraform and CloudFormation. Build automated deployment pipelines using Git-based workflows, CI/CD, containerization, Kubernetes orchestration, monitoring, logging, and governance controls. Leadership & Collaboration: Provide architectural guidance, mentor engineers, conduct design reviews, support delivery planning, and collaborate with product managers, business stakeholders, compliance teams, and data scientists to deliver enterprise AI initiatives. Preferred Industry Experience Financial Services, Banking, Payments, Risk Analytics, Regulatory Reporting, Data Governance, and Enterprise Digital Transformation. Success Profile A highly technical practitioner capable of independently delivering AI solutions from concept to production while influencing architecture, standards, and engineering excellence across teams. Our Commitment to Diversity & Inclusion: Did you know that Apexon has been Certified by Great Place To Work, the global authority on workplace culture, in each of the four regions in which it operates: USA (for the seventh time in 2026), India (for the tenth consecutive time in 2026), the UK(for the fourth time in 2026) and Mexico (for the second time in 2026). Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com) Our Commitment to Environment: Actively contribute to Apexon''s commitment to environmental responsibility by following sustainable practices and supporting ESG initiatives. Our Perks and Benefits: Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance. ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)