AI Prompt Engineer
Role details
Job location
Tech stack
Job description
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Implement Retrieval-Augmented Generation (RAG) using vector search and enterprise knowledge sources.
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Continuously optimize prompts for accuracy, consistency, latency, and cost efficiency.
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Build and deploy AI assistants using Microsoft Copilot Studio.
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Integrate copilots with enterprise APIs, workflows, and data sources.
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Implement responsible AI controls including content filtering, grounding, and hallucination reduction.
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Enforce data privacy, PII masking, and access control in AI workflows.
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Collaborate with Risk, Legal, and Compliance teams to meet regulatory and audit requirements.
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Support model governance, SDLC compliance, and production readiness reviews.
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Document prompt frameworks, AI workflows, and operational standards.
Requirements
Do you have experience in YAML?, Do you have a Bachelor's degree?, Objective of Role: We are seeking a highly skilled Prompt Engineering & AI Solutions Specialist to design, develop, and optimize enterprise-grade AI solutions using frontier large language models (LLMs). The ideal candidate will have hands-on experience with Microsoft Copilot Studio, Azure OpenAI, and advanced prompt engineering techniques to build secure, scalable, and compliant AI-powered assistants and workflows for banking and financial services use cases. This role will work closely with product owners, architects, risk/compliance teams, and business stakeholders to operationalize Generative AI across infrastructure, operations, and business functions. Primary Skill
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Strong hands-on experience with Microsoft Copilot Studio.
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Proven experience using Azure OpenAI / OpenAI APIs.
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Practical experience with frontier LLMs (GPT 4 class or equivalent).
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Solid understanding of prompt engineering frameworks and design patterns.
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Hands-on experience with RAG architectures and vector search technologies.
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Strong knowledge of tokenization, context windows, and inference latency tradeoffs.
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Proficiency in Python for AI integration and automation.
· Experience working with REST APIs, JSON, and YAML. · Experience with cloud platforms, preferably Microsoft Azure.
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Familiarity with AI governance, Responsible AI, and model risk management.
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Prior experience delivering enterprise copilots or chatbots at scale.
Secondary / Nice to Have Skills
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Experience with Power Platform (Power Apps, Power Automate).
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Exposure to model evaluation, monitoring, and AI observability tools.
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Knowledge of AI ethics and regulatory expectations in BFSI environments.
Experience: Minimum 6+ years, Qualifications : BACHELOR OF COMPUTER SCIENCE
Benefits & conditions
Pulled from the full job description
- Pet insurance
- Health insurance
- Vision insurance
- Dental insurance
- Commuter assistance, Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professio nal Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Salary Range: $110,000-$125,000 a year