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Lead AI Workflow Automation Engineer Job Opening In Hyderabad – Now Hiring ANSR


Job description

ANSR is hiring for one of its clients.

About Arch:

Arch Capital Group Ltd.

(Arch) is a leading global insurer with operations in more than a dozen countries.

We write insurance, reinsurance and mortgage insurance on a worldwide basis, and our customers value us as an innovative partner and dependable risk manager with decades of fresh ideas and solid results.

Part of the S&P 500, Arch has the size and capital position to remain a market-leading specialty insurer.


About Global Services India:

Arch Global Services India, established in 2025, is the newest part of Arch’s Global Service Organization.

With offices in Trivandrum and Pune, Arch Global Services India is strategically positioned to provide support to Arch Insurance, Reinsurance and Mortgage divisions globally.

At Arch Global Services India, we collaborate with teams across the globe to develop and implement solutions that deliver exceptional results for our clients worldwide.


Job Description: Lead AI Automation Engineer

Position Overview:

Are we seeking a highly experienced and motivated person Lead AI Automation Engineer with a proven track record of leading automation and integration initiatives.

The ideal candidate will bring at least 15 years of engineering experience, with prior technical leadership, solution definition and delivery.

This individual must be a motivated self-starter capable of driving both the solution architecture and hands-on development of automation and AI-driven solutions.

The role demands a deep foundation in workflow automation, system integration, and API-driven development, proficiency in cloud-native architectures on Azure, and curiosity in applying next-generation AI technologies to enterprise challenges.


Key Responsibilities:

Solution Leadership:

  • Define and drive automation solution architecture across business domains.

  • Translate business processes into scalable automation workflows using Microsoft Power Platform, Logic Apps, and Azure services.


Hands-On Development:

  • Design, develop, and deploy Power Automate-based automations, along with Logic Apps, Function Apps, and custom scripting.

  • Build and optimize API-based integrations across enterprise systems.

  • Develop agentic AI solutions, leveraging Azure OpenAI, Azure AI Foundry, and Retrieval-Augmented Generation (RAG) patterns.

  • Apply prompt engineering to optimize AI model performance.


Team & Stakeholder Engagement:

  • Share knowledge and best practices with other automation developers.

  • Collaborate with cross-functional stakeholders to align automation initiatives with business objectives.

  • Establish best practices, governance, and reusable frameworks for automation development.


Required Skills & Qualifications:

  • Experience: Minimum 12- 15 years in software/automation engineering
  • Automation Background: Strong foundation in Power Automate and workflow automation, with experience in Logic Apps, Azure Functions, and process orchestration.

  • Programming Skills: Proficiency in Python (preferred), with knowledge of at least some of C#, Java, JavaScript, etc.

  • Cloud Expertise: Strong experience with Microsoft Azure cloud services, including Power Platform, Logic Apps, Function Apps, Azure DevOps, and Azure AI services.

  • Integration Expertise: Proven experience in API development, system integrations, and workflow orchestration.

  • AI/GenAI Knowledge: Exposure to or hands-on with Azure OpenAI, Azure AI Foundry, Agentic AI development, Prompt Engineering, and RAG architectures.

  • Mindset: Strong automation-first mindset, with the ability to reimagine business processes through simplification and AI-driven enhancements.

  • Leadership & Communication: Excellent communication skills?with very strong English language skills, strong articulation skills and ability to create narratives for complex scenarios.


Preferred Qualifications:

  • Prior experience working in enterprise environments with complex integration landscapes.

  • Understanding of the M365 ecosystem (Power Automate, Power Apps, Teams, SharePoint integration).

  • Familiarity with governance and security frameworks for automation and AI adoption.

  • Continuous learner, with curiosity for emerging AI technologies and automation frameworks.

Required Skill Profession

Computer Occupations


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at ANSR adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Lead AI Workflow Automation Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Hyderabad. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Lead AI Workflow Automation Engineer?

Key qualifications for Lead AI Workflow Automation Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Lead AI Workflow Automation Engineer Job Success

ANSR interview tips for Lead AI Workflow Automation Engineer

Here are some tips to help you prepare for and ace your Lead AI Workflow Automation Engineer job interview:

Before the Interview:

Research: Learn about the ANSR's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Lead AI Workflow Automation Engineer interview at ANSR, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the ANSR's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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