Required Skills : * Local-First AI Expertise: Proven track record deploying and optimizing open-source LLMs (e.g., LLaMA, Mistral) in non-cloud, restricted, or air-gapped private infrastructures * Deep Framework Proficiency: Heavy hands-on experience with PyTorch, Hugging Face, and orchestration layers like LangChain, LlamaIndex, or equivalent frameworks * Vector and Retrieval Mastery: Direct experience engineering production-grade RAG architectures, embeddings, semantic search, and local vector databases (e.g., FAISS, Qdrant, Milvus, Chroma) * Containerization and Compute Infrastructure: Strong experience containerizing AI workloads via Docker/Kubernetes and managing dedicated GPU-based compute environments * Advanced ML Concepts: Solid understanding of fine-tuning techniques (LoRA/QLoRA) versus prompt engineering, and model quantization formats (GGUF, AWQ, EXL2) * Autonomy: Ability to build, test, and iterate rapidly in an isolated development sandbox with zero dependency on third-party cloud APIs * Experience operating within heavily regulated or compliance-driven industries (e.g., high-governance data environments, fintech, or legal-tech) * Familiarity with local-first agentic workflows, Model Context Protocol (MCP), or building fully internal developer copilots and autonomous knowledge systems.
| 6 Month. Additional Information: This position follows a hybrid work style and must be performed at one of our designated IT hub locations: New York City; Louisville, KY; Tampa, FL; Dallas, TX; Boston, MA or Washington, D.C. To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. We are seeking an experienced and highly technical Lead, AI Platform Engineer to drive the strategic evolution of our engineering platforms, enabling high-performing product and AI teams to deliver transformative solutions that measurably improve member outcomes, streamline clinical workflows, and optimize operational efficiency across the healthcare continuum. p>Technical direction-setting across the Agentic AI track: design reviews, architectural guidance, raising the bar on what "production-ready" means for agents, and mentoring engineers earlier in their agentic AI journey. You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas. p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. ul>Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. As a Risk Architecture- Agentic AI and Machine Learning Developer- Experienced Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: - Craft and convey clear, impactful and engaging messages that tell a holistic story.
p>This position can be based in our global operations center in Tampa, FL, or at one of the Firm's offices: Atlanta, Austin, Birmingham, Charlotte, Chattanooga, Dallas, Fort Lauderdale, Houston, Jacksonville, Miami, Nashville, Orlando, Philadelphia, Richmond, Stamford, Tallahassee, Tysons, Washington, D.C., or West Palm Beach. The Senior Manager works closely with practice leaders, firm leadership, and the AI Products team to ensure AI initiatives deliver practical, measurable value in attorneys daily work. p>'',''US-FL-Tampa'',''US-FL-Tampa'','''','''','''','''','''','''','''','''',''Full-time'',''Full Time'',''Full Time'',''Individual Contributor'',''Experienced'',''Experienced'',''No'',''No'',''15/06/2026, 4:48:14 PM'',''15/06/2026, 4:48:14 PM'',''80000'',''80000'',''100000'',''100000'',''false'',''922224'',''922224'',''true'',''922224'',''false'',''Submission for the position: Gen AI Engineer - (Job Number: CREQ254063)'',''false'',''922224'',''false'',''true''. Having Good experience in Python Google ADK skill , Experienced in developing AI agents that integrate tools, coordinate multiple specialized agents, and execute predictable workflows. Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials. li>Deep and authoritative knowledge of Generative AI, including LLMs, and extensive experience architecting and working with technology teams in building complex, production-grade Agentic solutions. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. As a Risk Architecture- Agentic AI and Machine Learning Developer- Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Additionally, you will organise leadership team calls and meetings, oversee research and data analysis, promote consistent execution across sectors, and collaborate across lines of service for knowledge sharing and promoting technology/tools for sales and delivery. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials. p>As a corporate and business strategy consultant at PwC, you will analyse client needs, provide consulting services across different strategic areas, and offer guidance and support to help clients develop and implement effective strategies that align with their business objectives and drive growth. As a Manager in Enterprise Functional Strategy, you will be responsible for defining and scaling AI-led operating models, designing agentic workflows, and leading cross-functional teams to deliver measurable value to clients. You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. |