AI Enablement Engineer/Specialist

Job Description : Location : Bangalore Experience : Relevant experience in AI Enablement, GenAI, Automation & Enterprise Integrations Employment Type : Full-Time Key Responsibilities : - Drive onboarding and adoption of approved AI tools, copilots, agents, and automation solutions across business and engineering teams. - Conduct demos, workshops, training sessions, and enablement programs to promote responsible and effective AI usage. - Scale successful AI pilots into reusable enterprise solutions by developing prompt libraries, playbooks, templates, and implementation frameworks. - Design and build AI agents and reusable skills supporting SDLC activities such as requirements analysis, user story generation, code reviews, test case generation, release notes, incident summarization, and production support. - Develop Python-based automation workflows for API integrations, reporting, data processing, metrics collection, and repetitive task automation. - Integrate AI solutions with enterprise platforms including Jira, Azure DevOps, GitHub, GitLab, Jenkins, ServiceNow, Confluence, SharePoint, Teams, Slack, databases, and cloud environments. - Build dashboards and reporting frameworks to measure AI adoption, productivity gains, quality improvements, and overall business impact. Required Skills : - Strong understanding of Generative AI, LLMs, AI Agents, Prompt Engineering, and Responsible AI practices. - Hands-on experience with Python scripting, REST APIs, JSON, workflow automation, and enterprise integrations. - Knowledge of Agentic AI concepts including tool calling, prompt chaining, workflow orchestration, guardrails, and human-in-the-loop design. - Experience with RAG, embeddings, vector databases, knowledge base integration, and enterprise AI solution patterns. - Good understanding of SDLC processes, Agile delivery, DevOps practices, testing, release management, and production support. - Experience with tools such as Jira, Azure DevOps, GitHub, GitLab, Jenkins, Confluence, SharePoint, Power BI, or similar platforms. - Strong communication, stakeholder management, documentation, training, and problem-solving skills. Preferred Skills : - Exposure to Azure OpenAI, OpenAI APIs, Microsoft Copilot, GitHub Copilot, GitHub CLI, and similar AI platforms. - Experience with cloud platforms, AI governance, data privacy, secure AI implementation, and enterprise dashboarding. Job Description : Location : Bangalore Experience : Relevant experience in AI Enablement, GenAI, Automation & Enterprise Integrations Employment Type : Full-Time Key Responsibilities : - Drive onboarding and adoption of approved AI tools, copilots, agents, and automation solutions across business and engineering teams. - Conduct demos, workshops, training sessions, and enablement programs to promote responsible and effective AI usage. - Scale successful AI pilots into reusable enterprise solutions by developing prompt libraries, playbooks, templates, and implementation frameworks. - Design and build AI agents and reusable skills supporting SDLC activities such as requirements analysis, user story generation, code reviews, test case generation, release notes, incident summarization, and production support. - Develop Python-based automation workflows for API integrations, reporting, data processing, metrics collection, and repetitive task automation. - Integrate AI solutions with enterprise platforms including Jira, Azure DevOps, GitHub, GitLab, Jenkins, ServiceNow, Confluence, SharePoint, Teams, Slack, databases, and cloud environments. - Build dashboards and reporting frameworks to measure AI adoption, productivity gains, quality improvements, and overall business impact. Required Skills : - Strong understanding of Generative AI, LLMs, AI Agents, Prompt Engineering, and Responsible AI practices. - Hands-on experience with Python scripting, REST APIs, JSON, workflow automation, and enterprise integrations. - Knowledge of Agentic AI concepts including tool calling, prompt chaining, workflow orchestration, guardrails, and human-in-the-loop design. - Experience with RAG, embeddings, vector databases, knowledge base integration, and enterprise AI solution patterns. - Good understanding of SDLC processes, Agile delivery, DevOps practices, testing, release management, and production support. - Experience with tools such as Jira, Azure DevOps, GitHub, GitLab, Jenkins, Confluence, SharePoint, Power BI, or similar platforms. - Strong communication, stakeholder management, documentation, training, and problem-solving skills. Preferred Skills : - Exposure to Azure OpenAI, OpenAI APIs, Microsoft Copilot, GitHub Copilot, GitHub CLI, and similar AI platforms. - Experience with cloud platforms, AI governance, data privacy, secure AI implementation, and enterprise dashboarding.