AI Adoption Engineer - AI Products & Platforms
Amgen
AI Adoption Engineer - AI Products & Platforms
Job Description
Career CategoryInformation SystemsJob DescriptionABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE We are seeking an AI Adoption Engineer who will serve as the technical catalyst for accelerating enterprise adoption of AI technologies including ChatGPT, Codex, AI agents, prompt engineering, and AI-enabled development workflows.Key ResponsibilitiesDrive adoption of ChatGPT, GitHub Copilot, Codex, and other AI tools while building reusable AI solutions, agents, and workflow automations.Conduct technical workshops, mentor teams on AI best practices, and collaborate with Product and Engineering to scale AI adoption.support multiple cross functional teams on use case execution with AI tools (codex and ChatGPT work)Evaluate emerging AI technologies, develop proof of concepts, and measure AI adoption and productivity improvements.This role combines hands-on software engineering with technical consulting, enablement, and innovationRequired Qualification:Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.8 to 12 years of software engineering, AI, or machine learning experience.Strong Python programming and REST API development experience.Hands-on experience with LLMs, ChatGPT, GitHub Copilot, Codex, Claude, or similar AI tools.Experience building AI-powered applications and workflow automation.Knowledge of prompt engineering and AI enablement practices.Excellent communication, technical mentoring, and stakeholder management skillsGood-to-Have Skills: Experience with ChatGPT Enterprise, custom GPTs or comparable generative AI platforms. Experience supporting technology adoption through training, office hours or communities of practice. Familiarity with responsible AI, privacy, information security or access management. Experience in biotechnology, pharmaceuticals, healthcare or another regulated industryEQUAL OPPORTUNITY STATEMENT:Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. .
Locations
- India - Hyderabad
Skills Required
- LLMsintermediate
- AI-powered applicationsintermediate
- prompt engineeringintermediate
- ChatGPT Enterpriseintermediate
- responsible AIintermediate
- biotechnologyintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. (degree in master)
- 8 to 12 years of software engineering, AI, or machine learning experience. (experience, 12 years)
- Strong Python programming and REST API development experience. (experience)
- Hands-on experience with LLMs, ChatGPT, GitHub Copilot, Codex, Claude, or similar AI tools. (experience)
- Experience building AI-powered applications and workflow automation. (experience)
- Knowledge of prompt engineering and AI enablement practices. (experience)
- Excellent communication, technical mentoring, and stakeholder management skills (experience)
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. (degree in master)
- 8 to 12 years of software engineering, AI, or machine learning experience. (experience, 12 years)
- Strong Python programming and REST API development experience. (experience)
- Hands-on experience with LLMs, ChatGPT, GitHub Copilot, Codex, Claude, or similar AI tools. (experience)
- Experience building AI-powered applications and workflow automation. (experience)
- Knowledge of prompt engineering and AI enablement practices. (experience)
- Excellent communication, technical mentoring, and stakeholder management skills (experience)
Preferred Qualifications
- Experience with ChatGPT Enterprise, custom GPTs or comparable generative AI platforms. (experience)
- Experience supporting technology adoption through training, office hours or communities of practice. (experience)
- Familiarity with responsible AI, privacy, information security or access management. (experience)
- Experience in biotechnology, pharmaceuticals, healthcare or another regulated industry (experience)
- Experience with ChatGPT Enterprise, custom GPTs or comparable generative AI platforms. (experience)
- Experience supporting technology adoption through training, office hours or communities of practice. (experience)
- Familiarity with responsible AI, privacy, information security or access management. (experience)
- Experience in biotechnology, pharmaceuticals, healthcare or another regulated industry (experience)
Responsibilities
- Drive adoption of ChatGPT, GitHub Copilot, Codex, and other AI tools while building reusable AI solutions, agents, and workflow automations.
- Conduct technical workshops, mentor teams on AI best practices, and collaborate with Product and Engineering to scale AI adoption.
- support multiple cross functional teams on use case execution with AI tools (codex and ChatGPT work)
- Evaluate emerging AI technologies, develop proof of concepts, and measure AI adoption and productivity improvements.
- Drive adoption of ChatGPT, GitHub Copilot, Codex, and other AI tools while building reusable AI solutions, agents, and workflow automations.
- Conduct technical workshops, mentor teams on AI best practices, and collaborate with Product and Engineering to scale AI adoption.
- support multiple cross functional teams on use case execution with AI tools (codex and ChatGPT work)
- Evaluate emerging AI technologies, develop proof of concepts, and measure AI adoption and productivity improvements.
- This role combines hands-on software engineering with technical consulting, enablement, and innovation
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