ai team lead

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow&mdash;people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
Job Description:
Job Summary
We&rsquo;re seeking a hands-on AI Acceleration Team Lead to drive end-to-end delivery of ML and GenAI solutions&mdash;from scoping and prototyping to production, monitoring, and continuous improvement. The ideal candidate brings depth in one core area (Data Science, MLOps, or GenAI Engineering) and breadth across ML fundamentals, GenAI (RAG/agents), and delivery practices. You&rsquo;ll lead a high impact, cross-functional pod and build on our stack: GCP, Vertex AI, IBM watsonx, and other agent orchestration frameworks (e.g., LangChain/LangGraph)
Key Responsibilities<ul><li>
End-to-End Solution Leadership: Own the full AI lifecycle: from requirement negotiation with stakeholders to technical architecture, deployment, and post-production monitoring.</li><li>
GenAI &amp; Agentic Orchestration: Design and scale sophisticated LLM applications using LangChain and LangGraph. Build multi-agent systems capable of reasoning, tool-use, and workflow automation/decision support for logistics use cases.</li><li>
Hybrid Platform Oversight: Serve as the technical lead for our AI stack, optimizing Google Cloud Vertex AI for model training/serving and IBM Watsonx for enterprise-grade governance and scaling.</li><li>
Production-Grade MLOps: Ensure the team builds robust CI/CD/CT (Continuous Training) pipelines. Oversee the integration of IaC, vector databases, feature stores, and automated evaluation frameworks.</li><li>
Responsible AI &amp; Governance: Implement model monitoring for drift, bias, and &quot;hallucinations&quot; (for GenAI) using watsonx.governance, ensuring compliance with enterprise standards.</li><li>
People &amp; Project Leadership: Translate business goals into measurable AI outcomes; manage backlog, risks, timelines, and documentation. Mentor a cross-functional team of AI Engineers and Data Scientists. Act as the &quot;Player-Coach&quot; who can perform deep code reviews while managing project milestones and executive expectations.</li></ul>
Required Qualifications, Skills
4+ years relevant in Data Science, MLE/MLOps, or GenAI Engineering; 1+ end-to-end project led to production (ownership of design deploy<ul><li> monitor).</li><li>
Depth in one track, plus working breadth across:<ul><li>
ML/DS: problem framing, feature engineering, model selection, evaluation.</li><li>
GenAI: prompt engineering, RAG, agentic patterns, tool use.</li><li>
MLOps: CI/CD for ML, observability, rollback, cost/perf tuning.</li></ul></li><li>
Stack: GCP/Vertex AI, IBM watsonx, Python, LangChain/LangGraph (or equivalent orchestration), Git, Docker/Kubernetes, SQL.</li><li>
Proven ability to lead cross-functional contributors and deliver measurable business impact.</li></ul>
Preferred Qualifications<ul><li>
Experience with Vertex AI (Pipelines, Workbench, Endpoints, Model/Feature Registry) and watsonx.ai / watsonx.governance.</li><li>
Familiarity with vector databases and retrieval and RAG evaluation.</li><li>
Exposure to MLflow/Kubeflow/Airflow, Terraform/Helm, and LLMs (Gemini, Llama, MistralAI).</li><li>
Knowledge of responsible AI controls (evals, guardrails, red teaming) and basic compliance frameworks.</li><li>
Experience with production monitoring/incident response for ML/GenAI services (SLAs, on-call, postmortems).</li></ul>
Education
Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or related field 
Employee Type: 
Permanent 
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.</div>

Lead Applications Developer

Skill floor solutions

Role OverviewWe are seeking a Technical Manager &ndash; Generative AI with strong project managementcapabilities and hands-on AI/ML expertise to lead end-to-end AI initiatives. The idealcandidate will manage a team of junior AI engineers, drive solution design, overseedeployment pipelines, and collaborate closely with cross-functional stakeholders to deliverscalable and production-ready AI systems.Key ResponsibilitiesTechnical Leadership<ul><li>Lead design, development, and deployment of Generative AI / LLM-based solutions.</li></ul><ul><li>Provide architectural guidance on model selection, fine-tuning, prompt engineering,</li></ul>and evaluation.<ul><li>Review code, enforce best practices, and ensure technical quality across AI</li></ul>deliverables.<ul><li>Stay updated with advancements in GenAI, NLP, and ML frameworks.</li></ul>Project &amp; Delivery Management<ul><li>Own end-to-end AI project lifecycle &mdash; requirement gathering, planning, execution,</li></ul>monitoring, deployment, and post-release support.<ul><li>Define timelines, milestones, and resource allocation.</li></ul><ul><li>Ensure adherence to delivery schedules and quality standards.</li></ul><ul><li>Manage risks, dependencies, and change requests.</li></ul>Team Management<ul><li>Mentor and manage a team of junior AI/ML engineers and data scientists.</li></ul><ul><li>Need to do skill development plans, and knowledge-sharing sessions.</li></ul><ul><li>Foster a collaborative and innovation-driven team culture.</li></ul>Stakeholder Collaboration<ul><li>Work closely with business stakeholders, product managers, and clients to translate</li></ul>business problems into AI solutions.<ul><li>Provide regular progress updates and technical recommendations to internal and</li></ul>external stakeholders.Deployment &amp; MLOps<ul><li>Oversee model deployment pipelines, CI/CD for ML, and production monitoring.</li></ul><ul><li>Ensure scalability, reliability, and performance optimization of AI systems.</li></ul><ul><li>Collaborate with DevOps and cloud teams for infrastructure planning.</li></ul>Required Skills &amp; Qualifications<ul><li>5&ndash;7 years of experience in AI/ML development with at least 2 years in a team</li></ul>leadership or technical management role.<ul><li>Strong experience in Generative AI, LLMs, NLP, or Deep Learning.</li></ul><ul><li>Proficiency in Python, ML frameworks (TensorFlow / PyTorch), and data processing</li></ul>libraries.<ul><li>Experience with cloud platforms (AWS / Azure) and containerization tools (Docker,</li></ul>Kubernetes).<ul><li>Hands-on exposure to MLOps, CI/CD pipelines, and model deployment strategies.</li></ul><ul><li>Solid understanding of software engineering principles and system architecture.</li></ul><ul><li>Demonstrated experience in project management methodologies</li></ul><ul><li>Excellent communication and stakeholder management skills.</li></ul>Preferred Qualifications<ul><li>Experience with RAG architectures, vector databases, and prompt engineering.</li></ul><ul><li>Familiarity with tools such as LangChain, Hugging Face, OpenAI APIs, or similar</li></ul>ecosystems.<ul><li>Exposure to data security, compliance, and responsible AI practices.</li></ul><ul><li>Certification in Project Management (PMP / Scrum Master) is a plus.</li></ul>Job Types: Full-time, PermanentPay: ₹85,000.00 - ₹100,000.00 per monthWork Location: In person

Technical Manager – Generative AI

Cohere Health

<div>Opportunity Overview:

We are seeking a Director of Data &amp; AI to join our product development team. In this role, you will lead world-class analytics, data science, and machine learning teams to enable clinical insights and precision AI. You'll partner closely with product, design, and software engineering to drive the research and development of data-centric solutions.

As a member of the leadership team, you'll work closely with business and AI partners across the globe to co-create solutions and drive the seamless execution of critical initiatives. You'll have the opportunity to apply deep analytics and AI expertise to deliver products that transform healthcare. You'll foster a culture of innovation, champion Cohere's values and leadership principle, and guide a team of engineers, analysts, and scientists to leverage complex healthcare data and methodologies in a fast-paced, rapidly-evolving landscape answering critical business and clinical questions. By combining modern analytic tools, methodologies, and AI technologies to meet challenging and open-ended business requests, this crucial role molds our analysis and builds data-driven analytics products.

What you'll do:
<ul>
<li>Recruit and build high-caliber machine learning, data science, and business intelligence development team</li>
<li>Leadership and Management:</li>
<li><ul><li>Lead and manage engineering teams, including recruitment, mentorship, and performance evaluation.</li>
<li>Nurture a collaborative and innovative culture within the team and throughout the organization</li>
<li>Develop and implement strategic plans for the Data &amp; AI department in alignment with the company's goals</li>
<li>Ownership and accountability of key quality and delivery metrics of the Data &amp; AI solutions, including time to value, model accuracy, etc.</li>
</ul></li><li>Collaboration and Communication</li>
<li><ul><li>Partner with Cohere Health's US-based Data &amp; AI team and assure consistent technical strategy, aligned roadmaps, and value-centric delivery approaches.</li>
<li>Collaborate with cross-functional product, clinical, and engineering partners to understand their needs, recommend solution approaches, and develop execution strategies</li>
</ul></li><li>Innovation and Delivery</li>
<li><ul><li>Oversee the design, development, and deployment of analytic and AI solution developments</li>
<li>Identify opportunities for technological advancements, applicable technical patterns, and innovation.</li>
<li>Direct an innovation pipeline from experimentations, to development, to maturation</li>
<li>Provide technical guidance, managing timeline, and ensuring quality and scalability of deliverables</li>
<li>Foster a data-driven decision-making culture and prioritize responsible AI</li>
</ul></li>
</ul>What you'll need:

Must-haves
<ul>
<li>8+ years of management experience hiring and developing data-centric development teams</li>
<li>12+ years of experience in data science and machine learning</li>
<li>Advanced degree (MS or Ph.D.) in a quantitative field Math, Engineering, Computer Science, Machine Learning</li>
<li>Proven success in growing and managing geographically distributed teams and fostering multi-functional collaborations</li>
<li>Track record of translating complex business problems into end-to-end data analytics products with a quantifiable business impact</li>
<li>Demonstrated success in maturing machine learning prototypes into scalable software</li>
<li>Experience with US managed care design and operations</li>
</ul>
Nice-to-haves
<ul>
<li>Strong preference for healthcare experience, specifically experience in Utilization Management, Payment Integrity, Risk Adjustment and Quality Measures</li>
<li>Hands-on experience with large-scale healthcare administrative and clinical data</li>
<li>Familiarity with healthcare body codesets, terminology and ontology</li>
<li>Prior experience in B2B enterprise SaaS startup</li>
</ul>
About ZignaAI, a Cohere Health Company:

Cohere Health's clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we've further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate&trade;, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we're creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health's innovations continue to receive industry wide recognition. We've been named to the 2025 Inc. 5000 list and in the Gartner&reg; Hype Cycle&trade; for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn&trade; Startup for 2023 &amp; 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can't wait to learn more about you and meet you at ZignaAI, a Cohere Health company!

Equal Opportunity Statement:

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it's personal.</div>

Director, Data & AI

Trimont Services India Pvt Ltd

<div>Overview

Founded in 1988, Trimont (www.trimont.com) is a specialized global commercial real estate loan services provider and partner for lenders and investors seeking the infrastructure and capabilities needed to help them scale their business and make informed, effective decisions related to the deployment, management and administration of commercial real estate secured credit. As the largest master servicer of commercial real estate loans in the United States, Trimont manages securitizations with meticulous oversight and coordination&mdash;protecting cash flows, mitigating risk, and ensuring portfolio performance.

We do this with a team of 1100+ extraordinary team members who serve a global client base from offices in Atlanta (headquarters), Bengaluru, Charlotte, Dallas, Hyderabad, Kansas City, London, New York and Sydney. We empower our people with advanced technology, industry-leading knowledge, and a culture centered on our core values. This approach enables our teams to deliver exceptional client service, build lasting relationships and take pride in the high-quality work they perform.

Trimont is an innovative firm where visionary professionals come to learn, grow, and thrive with colleagues driven by curiosity and collaboration.

Learn: We believe ongoing learning is critical and are focused on providing a work environment where all team members can take ownership of their careers.

Grow: We work alongside the largest institutional lenders in the world, overseeing the most significant projects in the industry. This unique opportunity allows us to broaden our skillset and develop our abilities by tackling some of the industry&rsquo;s most challenging and exciting endeavors.

Thrive: Our firm is a place where ethics and excellence meet to create an experience that matches our capabilities. There are no limits to what we as team members and as an organization, can achieve together.

Where people, purpose, and progress come together every day.

TriVinna, a Trimont company, is redefining the future of commercial loan servicing through advanced technology and data-driven innovation. As the newest addition to the Trimont group, TriVinna introduces a modern loan servicing software platform that streamlines operations, increases transparency, and provides clients and partners with actionable insights. Leveraging Trimont&rsquo;s access to approximately 11% of all U.S. commercial real estate lending data, TriVinna integrates market-leading analytics, robust portfolio management tools, and a high-touch customer support model. This comprehensive approach enables clients to make informed decisions, manage risk effectively, and achieve greater efficiency and performance in commercial real estate loan servicing.

Job Summary

We are seeking an experienced Head of Data Science for the build out of our commercial real estate loan servicing platform. They will lead multiple teams of data scientists in an Agile organization; the right leader will have a mix of strong technical understanding and a focus on innovation.

Key Responsibilities

Strategic Leadership
<ul><li>Define and execute the data science and AI strategy aligned with business objectives.</li></ul>
<ul><li>Lead three specialized teams: Document Processing and Extraction, Agentic AI and Predictive Analytics.</li></ul>
<ul><li>Partner with engineering and product teams to embed AI/ML capabilities throughout the platform.</li></ul>
<ul><li>Stay at the forefront of AI/ML advances and identify opportunities for competitive advantage.</li></ul>

Team Leadership and Development
<ul><li>Build and scale data science teams.</li></ul>
<ul><li>Recruit and retain top talent in Generative AI and machine learning.</li></ul>
<ul><li>Develop technical roadmaps for each team aligned with product priorities.</li></ul>
<ul><li>Foster culture of experimentation and production-focused ML.</li></ul>

Technical Leadership
<ul><li>Lead development of intelligent systems for working with, extracting and structuring unstructured data.</li></ul>
<ul><li>Design and deploy autonomous AI Agents that assist with loan servicing workflows.</li></ul>
<ul><li>Develop multi-agent systems that can handle complex multistep tasks.</li></ul>
<ul><li>Ensure agentic systems are explainable, controllable and aligned with business rules.</li></ul>
<ul><li>Build models for evaluation and prediction of borrower health and early warning signs of default.</li></ul>

ML Operations
<ul><li>Establish MLOps practices for model deployment, monitoring and evaluation.</li></ul>
<ul><li>Work with engineering and infrastructure to build scalable ML infrastructure.</li></ul>
<ul><li>Implement model governance, testing and validation frameworks.</li></ul>
<ul><li>Ensure models meet regulatory requirements and ethical AI standards.</li></ul>

Required Qualifications
<ul><li>PhD or Master&rsquo;s in computer science, statistics, machine learning or related quantitative field.</li></ul>
<ul><li>15+ years of experience in data science/ML with 8+ years leading teams.</li></ul>
<ul><li>Proven track record deploying production ML systems at scale.</li></ul>
<ul><li>Experience with modern ML frameworks (PyTorch, Tensorflow, HuggingFace, LangChain)</li></ul>
<ul><li>Experience with predictive modeling and time series forecasting.</li></ul>

Preferred Qualifications
<ul><li>Experience in financial services, lending or real estate technology.</li></ul>
<ul><li>Background in fintech or SaaS product companies.</li></ul>
<ul><li>Experience with commercial real estate data and loan structures.</li></ul>
<ul><li>Knowledge of financial regulations and model risk management.</li></ul>
<ul><li>Track record of building data science functions from ground up.</li></ul>

Key Competencies
<ul><li>Ability to translate business problems in ML solutions.</li></ul>
<ul><li>Strong product sense and focus on business impact.</li></ul>
<ul><li>Excellent communication skills with technical and non-technical stakeholders.</li></ul>
<ul><li>Strategic thinking with hands-on technical capabilities.</li></ul>
<ul><li>Experience balancing research innovation with production deployment.</li></ul>

Trimont is an equal opportunity employer, and we&rsquo;re proud to support and celebrate diversity in the workplace. If you have a disability and need an accommodation or assistance with the application process and/or using our website, please contact us. We are proud to maintain a drug-free policy, ensuring that our community is a secure and productive space for all our team members.</div>

Managing Director of Data Science

Nissan Motor Corporation

<div>
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Lead and manage data science teams, overseeing the development and deployment of machine learning models and advanced analytics solutions.
 </li>
 <li>
 Define and execute data strategies aligned with business objectives, ensuring actionable insights drive decision-making.
 </li>
 <li>
 Collaborate with cross-functional teams, including engineering, product, and business stakeholders, to identify and solve complex data-related challenges.
 </li>
 <li>
 Ensure data integrity, governance, and security while optimizing data pipelines and infrastructure for scalability.
 </li>
 <li>
 Mentor and develop data scientists, providing technical guidance, performance feedback, and career development support.
 </li>
 <li>
 Stay updated on emerging trends, technologies, and best practices in data science and artificial intelligence (AI).
 </li>
 <li>
 Communicate findings effectively to both technical and non-technical stakeholders, translating insights into business impact.
 </li>
 </ul>
 
 
 Key Competencies:
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking skills to interpret complex data and drive insights.
 </li>
 <li>
 Leadership and people management abilities to guide and grow a high-performing data science team.
 </li>
 <li>
 Business acumen to align data science initiatives with organizational goals and drive measurable value.
 </li>
 <li>
 Effective communication skills for conveying technical concepts to diverse audiences.
 </li>
 <li>
 Decision-making capabilities based on data-driven approaches.
 </li>
 </ul>
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Proficiency in programming languages such as Python, R, or SQL.
 </li>
 <li>
 Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn).
 </li>
 <li>
 Experience with big data technologies (Spark) and cloud platforms (
 
 AWS/
 
 Azure/ GCP).
 </li>
 <li>
 Strong understanding of statistical modeling, predictive analytics, and deep learning.
 </li>
 <li>
 Experience with data visualization tools (Quicksight, Power BI, Matplotlib, Seaborn, Streamlit/Dash).
 </li>
 <li>
 GenAI: Experience with GenAI APIs, LLMs, Vectorization, Agentic AI and prompt engineering for domain-specific solutions
 </li>
 <li>
 MLOps: Ability to build reusable model pipelines and manage deployments using MLflow and Docker
 </li>
 </ul>
 
 
 Behavioural Competencies:
 
 
 <ul>
 <li>
 Adaptability: Ability to pivot strategies based on evolving business needs and technological advancements.
 </li>
 <li>
 Learning Agility: Continuous learning mindset to keep up with emerging data science trends and methodologies.
 </li>
 <li>
 Teamwork: Collaborative approach to working with cross-functional teams, fostering knowledge sharing and innovation.
 </li>
 </ul>
 
 
 Certifications (Optional):
 
 
 <ul>
 <li>
 Certified Data Scientist (CDS) &ndash; DASCA
 </li>
 <li>
 AWS Certified Machine Learning &ndash; Specialty
 </li>
 <li>
 Microsoft Certified: Azure AI Engineer Associate
 </li>
 <li>
 Coursera/edX Data Science Specializations (e.g., IBM, Stanford, Harvard)
 </li>
 <li>
 Data Engineering Certifications
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 Location : Trivandrum Kerala Ind
 
 
 
 
 
 ia
</div>

Data Science Manager

92Techno

We are seeking an experienced AI/GenAI Solution Architect to lead the design and delivery of enterprise-grade AI solutions.Responsibilities<ul><li>Engage with clients early to understand AI/GenAI/ML use cases and business requirements</li><li>Design proposed AI architectures and delivery approaches for opportunities</li><li>Provide effort estimates, assumptions, and implementation roadmaps for AI components</li><li>Lead end-to-end AI/GenAI solution architectures including data, models, integration, and deployment</li><li>Own scoped AI work packages delivered by the AI CoE within larger delivery projects</li><li>Ensure AI solutions are production-grade, secure, scalable, and maintainable</li><li>Collaborate with delivery teams for integration, handover, and deployment support</li><li>Establish reusable reference architectures, patterns, and best practices</li><li>Lead AI-enabled development initiatives across delivery teams</li><li>Standardize AI tools and workflows across the software development lifecycle (requirements, design, coding, testing, documentation)</li><li>Maintain awareness of emerging AI tools, models, and industry trends</li><li>Support internal incubation efforts and AI technology radar initiatives</li><li>Guide and mentor junior AI engineer and data analysts, providing technical direction, support, and feedback to elevate team expertise.</li></ul>Required Qualifications<ul><li>8+ years of experience in solution architecture, AI/ML engineering, or related roles</li><li>Strong understanding of AI/ML concepts, GenAI architectures, and modern model ecosystems</li><li>Experience designing AI solutions for enterprise clients, including integration into business applications</li><li>Hands-on familiarity with GenAI patterns such as RAG, agents, embeddings, and prompt engineering</li><li>Strong communication and stakeholder management skills, especially in client-facing settings</li><li>Ability to work across pre-sales, delivery, and engineering teams</li></ul>Preferred Skills<ul><li>Experience with cloud AI platforms (Azure AI, AWS SageMaker, GCP Vertex AI)</li><li>Familiarity with MLOps practices, evaluation frameworks, and deployment pipelines</li><li>Exposure to enterprise security, compliance, and responsible AI governance</li><li>Prior experience in consulting or client delivery environments</li></ul>Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthWork Location: In person

AI Solution Architect

Brillio LLC

<div><h1 class="jobSectionHeader">Senior AI/ML Engineer - R01560293</h1>
<div>Senior AI/ML Engineer</div><h6 class="jobSectionHeader">
Primary Skills</h6><ul><li>
Classification (Decision Trees, SVM), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Great Expectation, Evidently AI, Hypothesis Testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Probabilistic Graph Models, Python/PySpark, R/ R Studio, Regression (Linear, Logistic), SAS/SPSS, Statistical analysis and computing, Tools(KubeFlow, BentoML), T-Test, Z-Test
</li></ul><h6 class="jobSectionHeader">Job requirements</h6><ul><li>
JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting &amp; Scaling Agentic AI Solutions &bull; Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. &bull; Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. &bull; Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development &amp; Optimization &bull; Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. &bull; Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. &bull; Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation &amp; Research &bull; Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. &bull; Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. &bull; Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy &amp; Business Impact &bull; Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. &bull; Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship &amp; Capability Building &bull; Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. &bull; Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.</li></ul></div>

Senior AI/ML Engineer – R01560293

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