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Implementation Specialist

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Onsite

Implementation Specialist

Parna Hr Consultants

Implementation Specialist

Skills

AIGitHub

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹650,000 – ₹1,650,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

2 September 2026

What they need


Role & responsibilities

  • Execute the end-to-end implementation of software, hardware, or system solutions.
  • Configure systems and integrate them with existing infrastructure.
  • Identify and resolve technical issues during implementation to ensure seamless delivery.
  • Collaborate with technical teams to escalate and resolve complex challenges.
  • Work closely with clients and internal stakeholders to gather requirements and tailor solutions accordingly.
  • Provide training and technical support to end users post-implementation.
  • Create and maintain detailed documentation for implemented solutions, including configurations, workflows, and user manuals.
  • Ensure all processes are accurately recorded for future reference.
  • Evaluate the performance of deployed systems and ensure they meet operation

We are seeking a skilled Implementation Specialist with 3+ years of experience to execute and support the implementation of technical solutions. The ideal candidate will have a strong technical background, sharp problem-solving skills, and the ability to work collaboratively with cross-functional teams.

This role requires a hands-on approach to deploying, configuring, and troubleshooting solutions to meet client and organisational needs.

Note: Minimum 12 years of hands-on experience using AI-assisted software engineering tools such as ChatGPT, Codex, Claude, GitHub Copilot, Amazon Q, Cursor, or equivalent LLM-based development assistants.

  • Demonstrated ability to leverage AI tools throughout the Software Development Life Cycle (SDLC).
  • Experience writing effective prompts and iteratively refining AI-generated outputs.
  • Strong understanding of validating, reviewing, and securing AI-generated code before production use.
  • Familiarity with enterprise AI usage policies, security, and confidentiality best practices. al requirements.

Conduct regular health checks and updates to maintain system integrity

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