Senior Software Engineer

Job Description

As a Tech Lead, you will lead the design, development, and deployment of AI-driven solutions, supporting enterprise AI initiatives and transformations. You will combine strong hands-on technical expertise with leadership responsibilities, working closely with cross-functional stakeholders to deliver scalable, secure, and high-impact AI systems.

Qualifications
What will you do

AI Architecture & Solution Delivery

• Lead AI solution architecture, design, and end-to-end implementation across projects

• Develop, optimize, and deploy AI models using Python and cloud-based AI services

• Integrate video analytics and video processing capabilities into AI solutions

• Ensure AI systems meet scalability, performance, reliability, and security standards

Cloud & Platform Engineering

• Design and implement AI solutions on Azure and other cloud platforms as required

• Support edge AI deployment strategies where applicable

• Apply DevOps practices to streamline AI development, deployment, and monitoring

Stakeholder & Delivery Collaboration

• Collaborate with cross-functional teams to identify and evaluate AI opportunities

• Participate in requirements gathering and review functional specifications with Business Analysts

• Work with the team lead to ensure designs and code align with architecture principles and standards

Quality & Governance

• Participate in peer reviews to improve solution quality and maintain best practices

• Ensure compliance with technical standards, security policies, and project guidelines

Leadership & Continuous Improvement

• Mentor and guide junior engineers and data scientists

• Stay current with emerging AI technologies, tools, and industry trends

• Contribute to strategic thinking and continuous improvement initiatives

Experience & Skills

• More than 4 years of hands-on experience in AI development and implementation

• Strong proficiency in Python programming

• Hands-on experience with Azure AI and cloud services

• Experience with machine learning frameworks such as TensorFlow or PyTorch

• Familiarity with video analytics and AI-based video processing

• Knowledge of DevOps practices within AI or data projects

• Experience working in agile delivery environments

• Strong leadership, project management, problem-solving, and communication skills

• Excellent analytical, strategic, and solution-oriented thinking

Certifications (Preferred)

• Microsoft Certified: Azure AI Engineer Associate

• Certified Artificial Intelligence Professional (CAIP)

Education

• Bachelor's degree in Computer Science, Information Technology, or a related field