Experience
8 - 12 yrs
Job Location
Central Remote, Remote
Vacancy
1
Designation
Senior Artificial Intelligence Engineer
Job Type
ONSITE
Job Description
Total Experience : 8 12 Years
Relevant Experience : 5 years
- 7+ years of experience in software engineering, solution architecture, enterprise technology consulting, or AI enablement.
- 2+ years of hands-on experience using Claude, LLMs, Generative AI platforms, or AI copilots in enterprise environments.
- Strong understanding of prompt engineering, AI-assisted software development, AI governance, and knowledge management.
- Experience designing enterprise solutions using APIs, cloud platforms, integrations, and automation technologies.
- Excellent coaching, facilitation, communication, and stakeholder management skills.
- Ability to translate complex technical concepts into business-friendly guidance.
- Experience with Claude, ChatGPT, Gemini, GitHub Copilot, Cursor, or similar AI platforms.
- Experience creating enterprise AI standards, governance frameworks, and adoption programs.
- Knowledge of RAG, vector databases, AI agents, MCP, prompt libraries, and workflow automation.
- Experience with Microsoft Ecosystem including Microsoft 365, Power Platform, Dynamics 365, Azure AI Services, Azure OpenAI, Azure Integration Services, RPA, software development lifecycle, and DevSecOps practices.
- Exposure to regulated industries, security controls, and compliance requirements.
- Experience architecting and integrating enterprise solutions across Microsoft Ecosystem, Salesforce, NetSuite, and Azure platforms, including data integration, workflow automation, AI enablement, governance, and enterprise application modernization.
Strategy & Architecture
- Define enterprise best practices for AI usage across business and technology teams.
- Advise architects and engineering teams on Claude-assisted solution design and implementation approaches.
- Establish standards for prompt engineering, knowledge management, AI workflows, and AI-assisted delivery.
- Evaluate emerging Claude capabilities and identify high-value business use cases.
Developer & Power User Enablement
- Train developers, analysts, product managers, and power users on effective Claude usage.
- Develop reusable playbooks, templates, prompt libraries, and training materials.
- Conduct workshops, office hours, coaching sessions, and hands-on enablement programs.
- Create role-based adoption frameworks for business and technical users.
Solution Review & Audit
- Review prompts, AI workflows, agents, automation solutions, and development practices.
- Audit Claude-generated outputs for quality, accuracy, security, and compliance.
- Provide recommendations to improve productivity, maintainability, and business value.
- Establish KPIs and maturity models for AI adoption.
Governance & Risk Management
- Define guardrails for responsible AI usage.
- Ensure compliance with organizational security, privacy, and governance requirements.
- Support risk assessments and AI governance reviews.
- Develop policies for prompt management, knowledge sharing, and AI lifecycle management.
No Referrers Available
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