Azoca Technologies
Senior AI Engineer
- Compensation
- Not disclosed
- Location
- Remote
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- You have 5+ years of experience in software engineering, enterprise application development, or solution architecture, with hands-on exposure to AI/ML-driven solutions.
- You bring strong development expertise in technologies such as Python, Java, TypeScript, or Go.
- You have practical experience integrating AI or machine learning capabilities into enterprise applications or digital platforms.
- You are comfortable working with cloud platforms such as AWS, Azure, or Google Cloud.
- You understand APIs, microservices, distributed systems, containerization, and modern integration patterns.
- You have experience using AI-assisted development tools and engineering productivity accelerators.
- You bring strong experience with Agile delivery, DevOps practices, CI/CD automation, and engineering lifecycle execution.
- You understand secure engineering principles, data privacy considerations, and enterprise governance expectations.
- You are a structured problem solver with strong communication and stakeholder management skills.
- Primary Skills: AI/ML such as AWS/Azure/GCP Solutions Architect, TOGAF-Certified Kubernetes Administrator with exposure to Lean Six Sigma.
Nice to have
- Experience building and scaling machine learning, generative AI, or intelligent automation solutions in production environments.
- Familiarity with MLOps, LLM integration, prompt engineering, model monitoring, and AI validation practices.
- Experience working within banking, fintech, payments, or other highly regulated industry environments.
- An advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline.
- Relevant certifications in cloud architecture, enterprise solution design, platform engineering, or AI/ML, such as AWS/Azure/GCP Solutions Architect, TOGAF, or Certified Kubernetes Administrator, with
- Experience leading engineering transformation, automation initiatives, or enterprise modernization programs.
- Demonstrated passion for innovation through open-source contributions, experimentation with emerging technologies, or adoption of modern engineering practices.
Full description
We are looking for a Senior AI Engineer with strong full-stack engineering and AI solution development expertise to architect, build, and scale enterprise-grade intelligent solutions. This role requires a blend of hands-on technical leadership, solution architecture, and AI implementation experience, with the ability to translate business requirements into secure, scalable, and production-ready applications.
The ideal candidate will bring deep expertise in AI-enabled software engineering, system integration, cloud-native development, and DevOps practices, with a strong focus on accelerated delivery through modern engineering methodologies, automation, and continuous improvement. Experience in deploying AI/ML models into enterprise environments, working across cross-functional teams, and driving innovation while maintaining governance, security, and long-term maintainability will be key to success.
Requirements:
- You have 5+ years of experience in software engineering, enterprise application development, or solution architecture, with hands-on exposure to AI/ML-driven solutions.
- You bring strong development expertise in technologies such as Python, Java, TypeScript, or Go.
- You have practical experience integrating AI or machine learning capabilities into enterprise applications or digital platforms.
- You are comfortable working with cloud platforms such as AWS, Azure, or Google Cloud.
- You understand APIs, microservices, distributed systems, containerization, and modern integration patterns.
- You have experience using AI-assisted development tools and engineering productivity accelerators.
- You bring strong experience with Agile delivery, DevOps practices, CI/CD automation, and engineering lifecycle execution.
- You understand secure engineering principles, data privacy considerations, and enterprise governance expectations.
- You are a structured problem solver with strong communication and stakeholder management skills.
- Primary Skills: AI/ML such as AWS/Azure/GCP Solutions Architect, TOGAF-Certified Kubernetes Administrator with exposure to Lean Six Sigma.
Good to have skills / qualifications:
- Experience building and scaling machine learning, generative AI, or intelligent automation solutions in production environments.
- Familiarity with MLOps, LLM integration, prompt engineering, model monitoring, and AI validation practices.
- Experience working within banking, fintech, payments, or other highly regulated industry environments.
- An advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline.
- Relevant certifications in cloud architecture, enterprise solution design, platform engineering, or AI/ML, such as AWS/Azure/GCP Solutions Architect, TOGAF, or Certified Kubernetes Administrator, with exposure to Lean Six Sigma considered an advantage.