Technical/IT Manager - AI, Cybersecurity & Product Engineering

Location: Hyderabad

Work Mode: On-site

Experience: 8–12 years

Employment Type: Full-Time

Reporting To: CEO / Leadership

Joining: Immediate joiners preferred

Job Summary

We are looking for a hands-on IT Manager – AI, Cybersecurity & Product Engineering to manage technical teams, oversee AI initiatives, strengthen application and cloud security, and drive software development and deployment.

The ideal candidate should have broad technical experience across AI/ML, Generative AI, cybersecurity, software architecture, cloud infrastructure, and DevOps. The role requires someone who can guide technical execution, manage project delivery, support client-facing technical discussions, and contribute to solution estimation and budgeting.

This is a hands-on management role focused on technical execution, team coordination, delivery ownership, and business support , rather than organization-wide technology leadership.

Key Responsibilities

• Manage AI/ML and Generative AI projects involving LLMs, RAG, AI agents, chatbots, and automation.
• Oversee software application design, development, testing, deployment, and maintenance.
• Coordinate cybersecurity practices, vulnerability remediation, application security, cloud security, and data protection.
• Manage cloud infrastructure, CI/CD pipelines, monitoring, backups, deployment processes, and infrastructure costs.
• Lead and coordinate developers, AI engineers, and other technical resources; monitor productivity, deadlines, and deliverables.
• Review technical designs, code quality, project estimates, feasibility, and implementation plans.
• Participate in client calls, technical presentations, solution discussions, and pre-sales meetings when required.
• Prepare or review project effort estimates, resource requirements, timelines, budgets, and technical proposals.
• Work with leadership, sales, pre-sales, and delivery teams to align technical solutions with business requirements.
• Maintain technical documentation, development standards, security practices, project reports, and delivery updates.

Required Skills & Qualifications

• 8–12 years of experience in software engineering, AI engineering, technology implementation, or related technical domains.
• Experience managing technical teams and delivering software or technology projects.
• Practical experience building and deploying AI/ML or Generative AI solutions in production.
• Working knowledge of LLMs, RAG, AI agents, Python, APIs, and modern AI application frameworks.
• Experience with application security, cloud security, vulnerability management, or secure software development.
• Strong understanding of software architecture, databases, APIs, and application development.
• Experience with AWS, Azure, or GCP and DevOps/CI/CD practices.
• Ability to manage project timelines, resources, priorities, and technical deliverables.
• Experience in effort estimation, project budgeting, technical proposals, or client-facing solution discussions.
• Strong communication, problem-solving, team management, and stakeholder coordination skills.

Preferred Profile

• Experience working in an IT services company, software development organization, or technology startup.
• Exposure to cybersecurity standards such as ISO 27001, NIST, or OWASP.
• Experience supporting pre-sales, client presentations, technical solutioning, and commercial estimation.

Success Measures

• Timely delivery of AI and software projects.
• Application quality, reliability, and security improvements.
• Effective technical team management and resource utilization.
• Accurate project estimates and budget monitoring.
• Client satisfaction and effective coordination with business and delivery teams.