Technical Project Manager
Job Description
Company Name: IMS Group - Interactive Manpower Solutions Pvt. Ltd.
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Location: Makarba, Ahmedabad (On-site)
Shift timing: 11:00 AM – 8:00 PM
Experience required: 8–10 Years
Managerial Experience required: Minimum 5+ Years
Education: BE / B.Tech
Job Summary -
We are looking for a highly skilled and hands-on Technical Project Manager with strong expertise in software development, architecture, cloud technologies, and AI-driven digital transformation. The ideal candidate should have proven experience in managing engineering teams, driving technical excellence, reviewing code, and leading AI/ML-powered product and automation initiatives.
The candidate should be capable of bridging business goals with modern engineering practices, including Generative AI, intelligent automation, cloud-native architecture, and data-driven decision-making.
Key Responsibilities -
Technical Leadership
- Lead and mentor software development teams with hands-on involvement in coding, architecture reviews, and technical governance.
- Drive architecture design, technical decision-making, scalability planning, and engineering best practices.
- Provide technical leadership in AI, .NET, C#, ASP.NET MVC, Web APIs, microservices, and enterprise application development.
- Establish coding standards, AI-assisted development practices, and engineering quality benchmarks
AI/ML & Generative AI Initiatives
- Lead AI/ML and Generative AI initiatives across products, workflows, and business processes.
- Design and implement AI-powered solutions including:
- Intelligent automation workflows
- AI copilots and chatbots
- Document processing and OCR automation
- Recommendation engines
- Predictive analytics
- AI-driven reporting and insights
- Work with modern AI ecosystems such as:
- OpenAI / Azure OpenAI
- LLM integrations
- Prompt engineering
- Vector databases and RAG architectures
- AI APIs and cloud AI services
- Evaluate and adopt emerging AI technologies to improve operational efficiency and product innovation.
- Drive responsible AI practices, governance, data security, and AI scalability.
Software Development & Cloud Engineering
- Ensure high-quality delivery of scalable, secure, and high-performance enterprise applications.
- Guide teams on APIs, integrations, microservices, CI/CD pipelines, and cloud-native architectures.
- Provide technical leadership on Azure/AWS infrastructure, deployments, DevOps, monitoring, and automation.
- Drive modernization initiatives including AI-enabled applications and cloud transformation.
Product & Delivery Management
- Manage project delivery, sprint planning, timelines, quality, risks, and stakeholder communication.
- Collaborate with product, business, and technical teams to deliver innovative and AI-enabled solutions.
- Drive engineering governance, continuous improvement, performance optimization, and technical documentation.
- Support strategic technology roadmap planning aligned with business goals.
Required Technical Skills
Core Technologies
- .NET, C#, ASP.NET MVC, Web APIs
- API Design, Microservices, System Integrations
- SQL Server / RDBMS
- Azure / AWS Cloud Platforms
- CI/CD, DevOps, Git
- SDLC, Agile/Scrum Methodologies
AI & Modern Technologies
- AI/ML Concepts and AI Solution Architecture
- Generative AI & LLM Integrations
- AI Automation & Workflow Orchestration
- Chatbots, AI Assistants, and Prompt Engineering
- Azure OpenAI / OpenAI APIs / Cloud AI Services
- Understanding of Data Engineering & Analytics concepts
- Exposure to AI security, governance, and responsible AI practices
Leadership & Soft Skills
- Strong team management and mentoring experience
- Excellent communication and stakeholder management skills
- Strong analytical, problem-solving, and decision-making abilities
- Strategic thinker with a hands-on technical approach
- Ability to drive innovation, digital transformation, and AI adoption initiatives
- Strong ownership mindset with focus on execution and delivery excellence
Preferred Qualifications
- Experience leading AI transformation or enterprise modernization initiatives
- Exposure to AI-enabled SaaS platforms or enterprise products
- Certifications in Azure/AWS Cloud or AI technologies are a plus
- Experience working with cross-functional and globally distributed teams is preferred