Technical Project manager

Key Responsibilities

Lead technical solutioning and system architecture for custom applications, integrations, and enterprise workflows (including RPA, low-code/no-code, and AI automation).

Review requirements, select technology stacks (cloud, APIs, databases, messaging, workflow engines), and drive build-versus-buy decisions.

Design and oversee development of applications and microservices utilizing modern coding practices (CI/CD, containerization, API-first development, Vibe or similar frameworks).

Implement workflow tools (e.g., Camunda, UiPath, Zapier, Power Automate) to streamline processes, automate operations, and deliver faster outcomes.

Develop and deploy AI-powered features such as intelligent bots, ML models, smart analytics, and automated insights integrated with existing platforms.

Hands-on functional prototyping and technical documentation of solution designs, integrations, and architecture diagrams.

Mentor developers in solution engineering, code review, and best practice adoption; guide team on emerging tech trends.

Drive technical risk analysis and performance optimization, and ensure compliance/security standards are met throughout the SDLC.

Manage project scope, resources, and budget using advanced project management tools (Jira, Azure DevOps, GitHub Projects, etc.).

Facilitate cross-functional collaboration (dev, QA, data, infrastructure), and engage directly in technical troubleshooting and solution workshops. Technical & Solution Engineering Skills

Proficiency in programming languages (Python, JavaScript, Node, Java/C#, SQL, etc.) and web/cloud technologies.

Experience architecting solutions with microservices, REST/GraphQL, serverless, cloud (Azure/AWS/GCP), and database systems.

Hands-on with workflow automation, low-code platforms, and integration frameworks.

Track record designing and deploying AI/ML models, including prompt engineering, model training, and application embedding.

Familiar with DevOps, CI/CD tools, and agile methodologies for technical delivery.

Ability to analyze complex requirements, translate them into high-impact solutions, and lead technical documentation eAorts.

Strong skills in infrastructure, networking, cybersecurity, and data modeling. Soft Skills & Competencies

Advanced communication, stakeholder management, and technical presentation abilities.

Critical thinking, creative problem-solving, adaptability to new tools and methods.

Leadership in driving innovation, mentoring, and team development within technical project teams.

High ownership, proactive approach to identifying project risks, and engaging in continuous improvement.

Collaboration across global teams and matrix organizations, including remote/virtual delivery models. Qualifications

Bachelor s or advanced degree in Computer Science, Engineering, Information Technology, or related technical field.

2-5 years of experience delivering technology solutions, with direct exposure to AI, automation, and cross-platform development.

Certified Scrum Master, PMP, SAFe, or comparable certification (preferred).

Demonstrable experience in technical solutioning, workflow automation platforms, and AI/ML projects.