AI & Generative AI – Consultant / Architect / Engineer / Applied AI Scientist

AI \& Generative AI – Consultant / Architect / Engineer / Applied AI Scientist **Location:** United States **Employment Type:** Full\-Time **Work Arrangement:** Onsite About the Role We are looking for experienced **AI and Generative AI professionals** to join our team across multiple areas, including **AI Consulting, AI Architecture, AI Engineering, and Applied AI Research**. The ideal candidates will have hands\-on experience building, deploying, architecting, or advising on **Generative AI, Agentic AI, LLMs, AI platforms, and enterprise AI solutions**. Depending on your background and expertise, you may contribute to AI strategy and use\-case discovery, design enterprise AI architecture, build production AI agents, or improve model performance through advanced machine learning techniques. Areas of Opportunity1\. AI Consultant * Identify and evaluate high\-value AI and automation opportunities. * Conduct use\-case discovery sessions and workshops with business stakeholders. * Assess opportunities based on business value, technical feasibility, risk, data readiness, and adoption. * Develop business cases, including expected benefits, costs, assumptions, and ROI. * Translate business problems into clear requirements and specifications for engineering teams. * Redesign business workflows to effectively incorporate AI. * Define success metrics and measure business outcomes before and after implementation. * Support stakeholder communication, change management, and AI adoption. 2\. AI Architect * Design scalable architectures for Generative AI and Agentic AI solutions. * Define architecture for orchestration, tools, memory, retrieval, state management, model routing, and multi\-agent workflows. * Establish AI platform controls covering security, governance, auditability, data lineage, evaluation, human oversight, guardrails, cost management, and access control. * Define standards for prompt management, versioning, evaluation, regression testing, rollback, and model drift. * Evaluate build\-versus\-buy decisions and assess AI technology vendors. * Design solutions aligned with enterprise security, compliance, and responsible AI requirements. * Work with engineering and business teams to ensure AI architectures are scalable, secure, and production\-ready. 3\. AI Engineer * Build and deploy production\-ready AI and Agentic AI applications. * Develop AI agents using retrieval, tool/function calling, orchestration, state management, and memory. * Build enterprise retrieval solutions using embeddings, chunking, hybrid search, reranking, grounding, and citations. * Deploy AI applications using cloud AI platforms such as **Microsoft Azure AI Foundry**. * Implement evaluation frameworks, regression testing, tracing, monitoring, and cost/token telemetry. * Integrate AI solutions with enterprise applications, databases, APIs, and business systems. * Follow modern software engineering practices including CI/CD, containers, and infrastructure as code. 4\. Applied AI Scientist * Improve the performance and capabilities of Generative AI and Large Language Models. * Develop and execute fine\-tuning strategies including **SFT, LoRA, QLoRA, and continued pre\-training**. * Work with preference optimization techniques such as **DPO, GRPO, reward modeling, RLHF, and RLAIF**. * Develop advanced prompting and context\-engineering strategies. * Design evaluation frameworks using golden datasets, LLM\-as\-a\-judge, calibration, and drift detection. * Develop and use synthetic data where appropriate for model training and evaluation. * Optimize model selection and routing based on quality, performance, and cost. * Conduct experiments and demonstrate measurable improvements in model performance. Required Qualifications Depending on the position and area of expertise, candidates should have: * 5\+ years of relevant professional experience in consulting, software engineering, AI/ML, data science, architecture, or a related field. * Hands\-on experience with **Generative AI, LLMs, Agentic AI, or enterprise AI solutions**. * Experience delivering AI solutions or research into production or measurable business outcomes. * Strong understanding of AI/ML concepts and modern Generative AI technologies. * Experience working with cross\-functional business and technical teams. * Strong problem\-solving and analytical skills. * Excellent communication and stakeholder management skills. Technical Skills Experience with one or more of the following is highly desirable: * Python and SQL * Large Language Models (LLMs) * Generative AI and Agentic AI * RAG and enterprise search * AI agents and multi\-agent systems * LangGraph, AutoGen, CrewAI, or similar frameworks * Microsoft Azure / Azure AI Foundry * AI Search and cloud AI services * PyTorch and Hugging Face * Transformers and model fine\-tuning * SFT, LoRA, QLoRA, DPO, GRPO, RLHF, or RLAIF * Machine learning evaluation and experimentation * CI/CD, containers, APIs, and infrastructure as code * AI governance, security, and responsible AI Preferred Qualifications * Experience building or deploying AI solutions in production. * Experience with enterprise or regulated environments. * Experience with AI governance, risk, security, and compliance. * Experience with distributed systems and cloud architecture. * Experience with AI evaluation, observability, and monitoring. * Relevant Microsoft AI or cloud certifications are a plus. * Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, NLP, or a related field is preferred for research\-focused positions. What We Offer * Opportunity to work on enterprise\-scale AI and Generative AI initiatives. * Exposure to emerging technologies in Agentic AI, LLMs, and AI platforms. * Opportunity to work with experienced business, engineering, architecture, and AI research teams. * Challenging projects with measurable business and technology impact. * Collaborative and innovation\-focused work environment. **We welcome applications from candidates with expertise in any of the four areas: AI Consulting, AI Architecture, AI Engineering, or Applied AI Science.** Pay: $100,000\.00 \- $200,000\.00 per year Benefits: * 401(k) * Flexible schedule Application Question(s): * Which role are you primarily interested in? (AI Consultant, AI Architect, AI Engineer, Applied AI Scientist, or another AI\-related role) * Please mention your current location (City and State). * What is your current work authorization status in the United States? Please mention whether you are a U.S. Citizen, Green Card holder, H\-1B, or hold another valid work authorization. * How many years of relevant experience do you have in AI, Generative AI, Machine Learning, LLMs, Agentic AI, AI Architecture, or related areas? * Please briefly describe your most relevant AI/Generative AI experience. Mention the type of projects you have worked on, your role, and whether the solutions were deployed in production. * Which AI area best matches your experience? Please describe your experience in AI Consulting, AI Architecture, AI Engineering, Applied AI/ML, or multiple areas. * What is your current CTC / annual compensation? Please mention the currency and whether it is base salary or total compensation. * What is your expected annual compensation? Please mention the currency and whether this is base salary or total compensation. * What is your notice period / earliest joining date? * Please provide your email address \& contact number Work Location: Remote