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AI Automation - Lead

Job in 600001, Chennai, Tamil Nadu, India
Listing for: Hastener Technology Solutions
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing
Job Description & How to Apply Below
AI Automation Lead

About Hastener Tech
We are a technology-focused business consulting company that helps organizations scale smarter and faster. Our expertise lies in building high-performance technology focused delivery centers, & GCC Strategies driving transformation, unlocking efficiencies & delivering Value. We don’t just consult—we partner for measurable business outcomes.
To learn more, visit us at

About the Client
Established in 2000, our client is a modern systems integrator focused on empowering asset-intensive industries through seamless technology integration and customer experience innovation.
for last 20 years, they are partnering with enterprises to transform operations by leveraging the combined power of Oracle, Salesforce, Microsoft, and Google ecosystems to reduce technical debt, modernize legacy systems, and confidently embrace AI-driven efficiencies that enable businesses to innovate, uplift performance, and stay future-ready.

About the Job
We are seeking an AI Automation Lead to evangelize and implement AI-driven automation across the organization. This role requires strong hands-on experience with Large Language Models (LLMs), Microsoft Power Platform (Power Automate, Power Apps, Power BI), Microsoft Copilot, Git Hub AI workflows, and enterprise process automation platforms.
The ideal candidate is highly process-oriented, capable of translating complex business workflows into scalable AI and low-code/no-code automation solutions, and adept at bridging the business and our engineering teams to drive measurable efficiency, adoption, and operational impact.

Role Type
Permanent in a new GCC setup offering a very steep learning curve.

Location & Mode of Work
Hastener Tech’s Client office in Chennai
Hybrid – 60% from Office

Responsibilities
Design, build, and optimize end-to-end automation workflows using Microsoft Power Platform (Power Automate, Power Apps), AI services, Copilot, and enterprise systems to reduce manual effort and cycle time.
Apply a process-first, continuous improvement mindset to identify inefficiencies, standardize workflows, and ensure AI and automation solutions are scalable, measurable, and sustainable.
Act as the central AI Automation Lead, driving adoption of AI and automation across projects and departments.
Establish and govern AI and automation standards across the projects & organization, including workflow design, Power Platform usage guidelines, security, and compliance.
Lead integration of Microsoft Copilot, Git Hub Copilot, Power Automate AI capabilities, and LLM-based solutions into development, delivery, and operational processes.
Collaborate with cross-functional teams to design AI-powered and Power Platform–based workflows.
Evaluate, implement, and scale AI, RPA, and low-code/no-code solutions to improve efficiency, reduce manual work, and enhance decision-making.
Build and maintain internal AI & Automation knowledge hubs, including Power Platform best practices, reusable components, and documentation.
Conduct training sessions, workshops, and demos to upskill teams on AI tools, Copilot, and Power Platform adoption.
Partner with business leaders to identify use cases and create proofs of concept (PoCs) that scale into enterprise-grade AI and automation solutions.
Ensure AI and Power Platform solutions meet organizational standards for security, quality, governance, and responsible AI usage.
Monitor and measure automation and AI impact across business units and continuously optimize existing implementations.
Act as a liaison between engineering, data teams, and business stakeholders for all AI and automation initiatives.

Desired Skillsets
6 to 8 years of overall experience in IT Solutions engineering with strong agile & Dev Ops Delivery model exposure.
A minimum of 2 years hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) and prompt engineering.
Practical working knowledge of Microsoft Copilot, Git Hub Copilot, and AI-powered development workflows.
Strong experience with Microsoft Power Platform, especially Power Automate (cloud flows, desktop flows, AI Builder), Power Apps (process-driven apps, form-based workflows)
Solid experience in enterprise…
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