297 Agentic Ai Jobs - Page 12

Role & responsibilities Conception and creation of a modern and professional company presentation (PowerPoint and web) Target group-oriented presentation of our tool chain and services Development, implementation and further development of our social media presence (Facebook, LinkedIn, YouTube) Creation of concepts for explanatory videos (e.g. comic style / doodle videos, motion graphics, screencasts) Build and implement marketing strategies using AI tools Assist in AI agent creation and performance tracking Market and competition analyses in the field of engineering services and test automation Development of a marketing strategy for our products and services (online and offline) Identification and elaboration of use cases for our tool chain in the marketing context Preferred candidate profile Students of MBA, Digital Media and Digital Marketing are the eligible candidates. Previous project experience in marketing or digital branding is important Strong interest and experience in AI-powered content tools Independent, structured way of working and initiative Interest in new tools, digital media and innovative formats Good writing and analytical skills Understanding of marketing funnels, SEO, and social platforms Curiosity for emerging digital trends and campaign technologies What we offer Real-world experience with a cross-functional marketing team Direct engagement with the top management team in Germany Encouraging stipend Exposure to AI-based marketing automation and video tool Weekly mentorship and review sessions Certificate of internship + Letter of Recommendation (on performance) Option to join full-time post-internship

Role & responsibilities AI/ML Development: Build and optimize models using TensorFlow, PyTorch for tasks across text, image, voice, and video. Agentic AI: Create autonomous agents using ReAct, AutoGPT, and LangChain with task orchestration and governance. Multimodal Analytics: Apply deep learning for insights from images, video, voice, and text using CNNs and NLP. Cloud Deployment: Use AWS, Azure, and tools like SageMaker for scalable model deployment and integration. Collaboration & Innovation: Partner with teams, track performance, document work, and adopt latest AI/ML practices. Preferred candidate profile Experience:7-9 years in AI/ML with hands-on work in deep learning, LLMs, Generative AI, and deploying models to production. Technical Skills: Proficient in Python, ML frameworks (TensorFlow, PyTorch), and various learning techniques (supervised to reinforcement). Agentic AI & NLP: Skilled in Lang Chain, AutoGen, ReAct, RAG pipelines, prompt engineering, and API/tool integration. Cloud & Deployment: Experience with AWS, Azure, Docker, Kubernetes, and secure, scalable AI deployments. Education & Soft Skills: Strong analytical and communication skills; degree in CS, Engineering, Math, or related field.

Hiring AI & Data Retrieval Engineer with expertise in NLQ, Text-to-SQL, LLMs, LangChain, pgVector, PostgreSQL, vector search, Python, AI libraries, Agentic AI & API integration. Exp with NLP, RAG, BI tools, live projects & LLM fine-tuning preferred.

ns to join our fast-growing, dynamic team. Why Join Us? We are committed to bringing AI into every technology spaceand we want you to grow with us! As an intern, youll receive comprehensive AI training, work on practical in-house projects, and get the opportunity to transition to real-life client projects. What Youll Get: 1st Month: Professional AI Training Hands-on project experience Work with experienced mentors 2nd Month : Apply your learning to real-world scenarios Contribute to live projects After 2 Months : Performance-based stipend Opportunity for long-term placement with our core team What Were Looking For: Interns ready to work 6 days a week , 4-5 hours daily Flexible hours with mandatory team calls between 9:00 10:30 PM IST Preferred working window: 5:00 11:00 PM IST Strong sense of responsibility , maturity , and team spirit Immediate joiners only Location: Remote internship with the possibility to work from our Kolkata office in the future Note: No stipend in the 1st and 2nd month Only serious candidates looking to build a career in AI & software development should apply If you're ready to commit, learn, and grow with a cutting-edge team Infotech Launch is the place for you. Apply now and take the first step toward a rewarding AI career! Contact us: 8109731880 (WhatsApp)

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science, Machine learning along with hands on experience with GenAI and LLMs

Job Overview: We are looking for a highly skilled AI & Agentic Developer to design, build, and deploy intelligent autonomous systems. This role involves developing AI-powered agents that can perceive, reason, and act independently, leveraging LLMs, reinforcement learning, and multi-agent systems. You will work on cutting-edge AI frameworks like LangChain, AutoGen, CrewAI, and MLOps pipelines for scalable deployment. Key Responsibilities: AI & Machine Learning Development: Develop, train, and fine-tune machine learning (ML) and deep learning (DL) models. Implement LLMs, NLP, reinforcement learning (RL), and computer vision (CV) models. Optimize retrieval-augmented generation (RAG) systems with vector databases (FAISS, Pinecone, Chroma). Work on multimodal AI systems integrating text, image, and audio processing. Agentic AI Systems Development: Build autonomous AI agents that can make decisions, learn from feedback, and interact with environments. Implement multi-agent frameworks using LangChain, CrewAI, AutoGen, BabyAGI, MetaGPT. Integrate AI agents with APIs, databases, and enterprise applications for real-world deployment. Software Engineering & MLOps: Design and deploy AI models using Docker, Kubernetes, and CI/CD pipelines. Implement MLOps workflows for continuous training, monitoring, and model retraining. Optimize AI solutions for cloud platforms (AWS, Azure, GCP) and edge computing. AI Governance & Security: Implement AI safety measures, including adversarial defense and bias mitigation. Ensure compliance with AI regulations (GDPR, HIPAA, SOC 2) and ethical AI principles. Secure AI agents against prompt injection, model poisoning, and adversarial attacks. Required Skills & Qualifications: Technical Skills: Strong programming skills in Python, Java, or R. Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn). Experience with LLMs & NLP (Hugging Face, OpenAI API, BERT, GPT, Claude). Proficiency in multi-agent frameworks (LangChain, CrewAI, AutoGen). Knowledge of reinforcement learning (PPO, A3C, DDPG, SAC). Experience with vector databases (FAISS, Pinecone, Chroma) and knowledge graphs. Strong foundation in MLOps, cloud AI services (AWS, Azure AI, Google Vertex AI). Soft Skills: Strong analytical and problem-solving skills. Ability to work in a fast-paced, cross-functional team. Excellent communication and documentation skills. Preferred Qualifications: Masters. in Computer Science, AI, or Data Science. Certifications in AI/ML (AWS ML Specialist, Google ML Engineer, Microsoft AI Engineer). Experience with autonomous systems, robotics, or digital twins. 5-7 years of similar or equivalent experience.

Position Summary: As a member of Redaptive's AI team, you will be driving Agentic AI and Generative AI integration across all of Redaptives business units. You will drive AI development and integration across the organization, directly impacting Redaptives global sustainability efforts and shaping how we leverage AI to serve Fortune 500 clients. Responsibilities and Duties: Strategic Leadership (10%): Champion the AI/ML roadmap, driving strategic planning and execution for all initiatives. Provide guidance on data science projects (Agentic AI, Generative AI, and Machine Learning), aligning them with business objectives and best practices. Foster a data-driven culture, advocating for AI-powered solutions to business challenges and efficiency improvements. Collaborate with product management, engineering, and business stakeholders to identify opportunities and deliver impactful solutions Technical Leadership (40%): Architect and develop Proof-of-Concept (POC) solutions for Agentic AI, Generative AI, and ML. Utilize Python and relevant data science libraries, leveraging MLflow. Provide technical guidance on AI projects, ensuring alignment with business objectives and best practices. Assist in developmentand documentation of standards for ethical and regulatory-compliant AI usage. Stay current with AI advancements, contributing to the team's knowledge and expertise. Perform hands-on data wrangling and AI model development Operational Leadership (50%): Drive continuous improvement through Agentic AI, Generative AI, and predictive modeling. Participate in Agile development processes (Scrum and Kanban). Ensure compliance with regulatory and ethical AI standards. Other duties as assigned Required Abilities and Skills: Agentic AI development and deployment. Statistical modeling, machine learning algorithms, and data mining techniques. Databricks and MLflow for model training, deployment, and management on AWS. Working with large datasets on AWS and Databricks Strong hands-on experience with: Agentic AI development and deployment. Working with large datasets on AWS and Databricks. Desired Experience: Statistical modeling, machine learning algorithms, and data mining techniques. Databricks and MLflow for model training, deployment, and management on AWS. Experience integrating AI with IoT/event data. Experience with real-time and batch inference integration with SaaS applications. International team management experience. Track record of successful product launches in regulated environments Education and Experience: 5+ years of data science/AI experience Bachelor's degree in Statistics, Data Science, Computer Engineering, Mathematics, or a related field (Master's preferred). Proven track record of deploying successful Agentic AI, Generative AI, and ML projects from concept to production. Excellent communication skills, able to explain complex technical concepts to both technical and non-technical audiences.

•5-10 years of industry experience in developing Agentic AI solutions including machine learning. •Strong skills in Python along with experience with relevant libraries. •Experience in working with large datasets, implementing scalable AI solutions.

AlgoAnalytics is looking for a Data Scientist who has the passion for AI/ML solution development and cutting-edge work in Gen AI. Minimum 3 years of experience in AI/MI including Deep Learning, and exposure to Gen AI/LLM is required along with tools/techs/libraries like Agentic AI, Dify/Autogen, Langraphetc. Detailed understanding of Cloud technologies and Deployment with good hands-on experience is an added advantage. Key Responsibilities: AI/ML & Gen AI Development: Develop Gen AI/LLM models using OpenAI, Llama, or other open-source/offline models. Utilize Agentic AI frameworks and tools like Dify, Autogen, Langraph to build intelligent systems. Perform prompt engineering, fine-tuning, and dataset-specific model optimization. Implement cutting-edge research from AI/ML and Gen AI domains. Work on cloud-based deployments of AI/ML models for scalability and production readiness. Leadership & Mentoring: Troubleshoot AI/ML, Gen AI, and cloud deployment challenges. Mentor junior team members and contribute to their skill development. Identify team members for mentoring, hiring, and technical initiatives. Ensure smooth project execution, deadline management, and client interactions. Research & Innovation: Explore and implement recent AI/ML research in practical applications. Contribute to research publications, internal knowledge-sharing, and AI innovation. Qualifications: 2-3 years of hands-on experience in Machine Learning, Deep Learning, and Gen AI/LLMs. Bachelors/Masters degree in Computer Science, Engineering, Mathematics, or Statistics (with strong programming knowledge). Skills: Programming: Strong expertise in Python and relevant ML/AI libraries. AI/ML & Gen AI: Deep understanding of Machine Learning, Deep Learning, and Generative AI/LLMs. Agentic AI & Automation: Experience with Dify, Autogen, Langraph, and similar tools. Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps deployment pipelines. Communication & Leadership: Strong ability to manage teams, meet project deadlines, and collaborate with clients. Note - We would prefer only Pune based candidates

•5-10 years of industry experience in developing Agentic AI solutions including machine learning. •Strong skills in Python along with experience with relevant libraries. •Experience in working with large datasets, implementing scalable AI solutions.

Sundew is a growing company with 18 years of expertise in Digital Transformation, excelling in Digital Strategy, Cloud-Native Application Development, AI, and Product Engineering. We are seeking a Agentic AI Developer to join our AI team in designing, developing, and deploying next-generation autonomous and agentic systems for our global clients. In this role, you will work at the intersection of artificial intelligence, software engineering, and cognitive architectures to build AI agents that can reason, plan, learn, and act with high levels of autonomy across dynamic environments. The ideal candidate brings deep experience in building agent-based systems, reinforcement learning, or multi-agent frameworks, along with a passion for pushing the boundaries of AI that can operate with initiative and self-direction. Key Responsibilities Develop agentic AI systems capable of autonomous decision-making, task decomposition, and adaptive behavior in real-world or simulated environments. Design and implement cognitive architectures, memory systems, and planning algorithms to enable goal-driven, self-reflective agents. Integrate large language models (LLMs), symbolic reasoning, and other AI components into cohesive agent frameworks. Collaborate with cross-functional teams (e.g., product, UX, robotics, cloud engineering) to deploy agents in production environments. Optimize performance of agentic systems for scalability, latency, and robustness. Conduct experiments and evaluations on agent behavior, adaptability, and long-term autonomy. Stay current with research and best practices in autonomous agents, AI planning, reinforcement learning, and related domains. Qualifications Required: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related field 3+ years experience in AI/ML software development, with a focus on autonomous agents or AI planning. Strong proficiency in Python and familiarity with frameworks such as Lang Chain, Auto Gen, or custom agentic toolkits. Experience with LLMs, transformers, and integrating language models into agent workflows. Solid understanding of one or more of: reinforcement learning, cognitive architectures, symbolic reasoning, or decision-making systems. Preferred: Experience with cloud-based deployment of AI systems (e.g., AWS, GCP, Azure) Published work in agentic AI, multi-agent systems, or autonomous learning. Contributions to open-source agentic AI tools or frameworks. What We Offer: Join a rapidly expanding, global organization leading the charge in digital transformation with cutting-edge technologies. Remote work environment to support work-life balance. Opportunity to grow in a fast-paced and emerging domain. Inclusive and collaborative team culture where your ideas matter. Competitive compensation package with performance-based incentives to reward excellence and drive measurable results. At Sundew, we are on a mission to explore and shape the future of generative AI. If you're curious, creative, and ready to learn, this is your chance to grow with a company that's pushing the boundaries of digital innovation.

Hexaware is conducting Walkin Interview for Data Scientist (Agentic AI) _Navi Mumbai Location_ 18th May 25 (Sunday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com Experience range- 3yrs to 19yrs Notice period- 15 days/30days Max Interview Location (Face to Face)- Navi Mumbai Open Positions: 1. AI Engineer -3+yrs 2. Lead Agentic AI Developer -5+yrs 3. Data scientist Architect- 10_yrs MUST HAVE: Agentic AI, LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Knowledge of Agentic AI concepts and applications 2. Strong Experience in Data Scientist (GENAI) 3. Proficiency with Generative AI models like GANs, VAEs, and transformers 4. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 5. Strong Python Fast API experience, SDA based implementations for all the APIs

Job Title: AI/ML Engineer Location: Gurugram, Haryana Employment Type: Full-Time Experience Required: 36 Years Objective of the Role: We are seeking a highly skilled AI/ML Enginee r who will be responsible for building, testing, and maintaining robust, scalable, and secure web applications. The ideal candidate will have strong expertise in Python and Django , with additional exposure to machine learning , generative AI frameworks , and modern deep learning architectures . This role involves optimizing performance, ensuring security, working with APIs, and collaborating closely with cross-functional teams to deliver high-quality backend solutions. Key Responsibilities: 36 years of hands-on experience in Python. Design, develop, and maintain backend services and RESTful APIs using Django or Django REST Framework. Work with third-party APIs and external services to ensure smooth data integration. Optimize application performance and implement robust security practices. Design scalable and efficient data models; work with relational and NoSQL databases. Implement and maintain CI/CD pipelines using tools like Docker, Git, Jenkins, or GitHub Actions. Collaborate with front-end developers, DevOps engineers, and product managers to deliver end-to-end solutions. Integrate and deploy ML models and AI features in production environments (a strong plus). Write clean, modular, and testable code following best practices. Troubleshoot, debug, and upgrade existing systems. Required Skills and Qualifications: Strong proficiency in Python and Django framework. Experience with PostgreSQL , MongoDB , or MySQL . Familiarity with Docker , Gunicorn , Nginx , and CI/CD pipelines. Experience with machine learning and deep learning concepts. Exposure to Generative AI , Transformers , Agentic Frameworks , and Fine-Tuning techniques . Hands-on experience with PyTorch or TensorFlow (PyTorch preferred). Ability to translate ML/AI solutions into production-ready APIs or services. Strong problem-solving and debugging skills. Nice to Have: Knowledge of FastAPI or Flask. Experience deploying models via TorchServe or ONNX. Familiarity with MLOps practices and tools like MLflow, DVC, or SageMaker. If you're passionate about backend development and excited to work at the intersection of software engineering and AI innovation , we’d love to hear from you.

Hexaware is conducting Walkin Interview for Data Scientist (Agentic AI) _Chennai Location_ 17th May 25 (Saturday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com Experience range- 3yrs to 19yrs Notice period- 15 days/30days Max Interview Location (Face to Face)- Chennai Open Positions: 1. AI Engineer -3+yrs 2. Lead Agentic AI Developer -5+yrs 3. Data scientist Architect- 10_yrs MUST HAVE: Must have Experience: Agentic AI, LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Knowledge of Agentic AI concepts and applications 2. Strong Experience in Data Scientist (GENAI) 3. Proficiency with Generative AI models like GANs, VAEs, and transformers 4. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 5. Strong Python Fast API experience, SDA based implementations for all the APIs

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science, Machine learning along with hands on experience with GenAI and LLMs

Role: AI/ML Engineer Has 4+ years of work experience , with at least 2+ years directly working on Generative AI and Agentic systems Knows how to use Large Language Models (LLMs) like GPT for real applications (not just research or theory) Has worked on multi-agent systems or autonomous AI agents using tools like CrewAI, AutoGen, or similar frameworks Can write smart prompts ( prompt engineering ), build apps with LLMs, and knows how to do RAG (Retrieval-Augmented Generation) Has done fine-tuning of models and built custom AI workflows Codes well in Python Has used ML frameworks like TensorFlow or PyTorch Familiar with tools like LangChain , and cloud/data platforms like AWS or Databricks Location: Bangalore/ Mumbai Shift Timing: 12:00 PM 9:00 PM Notice Period: 30 days or less Call Anumeha @ +91 6376649769/ Alfiya @ +91 8787064649

Looking for a highly skilled GenAI Scientist with a strong expertise in the field of LLMs, including multimodal LLMs, agentic AI, fine-tuning, distillation, hands-on approach to research, development, and implementation of cutting-edge AI solutions.

Key Responsibilities: AI Research & Optimization: Stay updated with the latest AI models, optimize cloud/custom AI engines, and enhance model efficiency using techniques like quantization and pruning. Model Development & Deployment: Train, fine-tune, and deploy AI models using TensorFlow, PyTorch, and cloud AI services (AWS SageMaker, Azure ML, Google Vertex AI). Programming & Performance Tuning: Strong coding skills in Python, CUDA, and TensorRT for AI acceleration; experience with distributed computing (Spark, Ray). Cloud & MLOps Expertise: Hands-on with AI infrastructure, containerization (Docker, Kubernetes), and performance optimization for AI workloads. Problem-Solving & Research: Strong analytical skills, ability to explore emerging AI technologies, drive innovative AI-driven solutions, and publish research papers in AI/ML conferences or journals

We are looking for a dynamic Frontend Engineer who is passionate about building sleek and intuitive interfaces for our cutting-edge AI platform on Azure. In this hybrid role, you will focus primarily on frontend development while also supporting the backend agentic functionalities when required. Your expertise will ensure seamless integration between user interfaces and underlying agent orchestration modules. SCOPE OF WORK UI/UX Development: Design, develop, and optimize responsive and engaging web interfaces. Translate design mock-ups and wireframes into robust frontend code using modern frameworks. Integration & Collaboration: Work closely with backend engineers to integrate agentic features into the user-facing components. Assist in debugging and troubleshooting issues related to agent-based integrations and interactions. Agentic Systems Support: Collaborate with the backend team on integrating functionalities built with Python, LangChain, and Databricks. Contribute ideas to enhance the orchestration between frontend controls and backend agentic workflows. Performance and Optimization: Ensure that web applications are optimized for speed, performance, and scalability. Utilize best practices for cross-browser compatibility and responsive design. Agile Team Participation: Actively participate in sprint planning, daily stand-ups, and retrospective sessions. Work effectively with offshore teams to meet project milestones and deliverables IDEAL CANDIDATE PROFILE Significant experience in development or bachelors degree in computer science, Data Science, or a related field. 3+ years of professional experience in frontend development. Strong proficiency in HTML, CSS, and JavaScript/TypeScript. Experience with modern frontend frameworks such as React, Angular, or Vue.js. Familiarity with responsive design principles and mobile-first development. Basic understanding of backend integration, with willingness to work on agentic systems support tasks. Prior experience interfacing with RESTful APIs and handling asynchronous data. Knowledge of version control systems, preferably Git. Excellent communication skills and proven ability to thrive in a remote/offshore team setup. A passion for emerging AI technologies and an eagerness to contribute to agent-based project enhancements.

Seeking experienced Transformation Consultants to lead digital transformation projects aimed at enhancing contact center operations and customer experience. This role focuses on process improvement using structured methodologies and modern technologies like GenAI, Agentic AI, and Conversational AI Bots. Key Responsibilities: Lead and execute transformation initiatives in contact center and customer experience domains Conduct Process Discoveries, Customer Journey Mapping, and gap analyses Drive improvements using DMAIC methodology and Lean Six Sigma tools Implement solutions involving RPA, AI-enabled bots, and other emerging technologies Collaborate across delivery, sales, and technology teams Facilitate client interactions and support pre-sales, orals, and due diligence Foster a problem-solving culture through training and mentoring Mandatory Qualifications: Green Belt certified (mandatory), Black Belt preferred 5+ years of total experience, with 3+ years specifically in digital transformation Hands-on with Visio, knowledge of GenAI, Agentic AI, Conversational Bots Strong exposure to contact center / CX transformation

Role & responsibilities Urgent Hiring for one of the reputed MNC Immediate joiners Only Females Bang / Pune / Hyd Exp - 4 - 12 Years Job Description: Senior Data Scientist - Multi-Agent AI Systems About the Role We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Key Responsibilities Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication Build, train, and fine-tune generative AI models for various applications within multi-agent systems Develop robust evaluation frameworks to measure and improve multi-agent system performance Implement efficient knowledge sharing mechanisms between AI agents Write clean, efficient, and well-documented Python code for production-ready AI systems Collaborate with cross-functional teams to integrate multi-agent systems into broader product ecosystems Stay at the forefront of AI research and incorporate state-of-the-art techniques into our solutions Required Qualifications Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field 4+ years of professional experience in data science or machine learning engineering Extensive experience with Python programming and related data science/ML libraries Demonstrated expertise in developing and deploying generative AI models (e.g., LLMs, diffusion models) Proven experience building RAG-based systems and implementing vector databases Strong background in prompt engineering for large language models Experience designing and implementing generative AI-based multi-agent architectures Excellent problem-solving skills and ability to optimize complex AI systems Preferred candidate profile Experience with LangChain, AutoGPT, CrewAI, or similar frameworks for building agent-based systems Familiarity with orchestration tools for managing complex AI workflows Knowledge of agent communication protocols and collaborative problem-solving frameworks Experience with distributed systems and cloud computing platforms (AWS, GCP, Azure) Contributions to open-source AI projects or research publications in relevant fields Experience with knowledge graphs and semantic reasoning systems Familiarity with MLOps practices and deployment of AI systems at scale

Seeking experienced Transformation Consultants to lead digital transformation projects aimed at enhancing contact center operations and customer experience. This role focuses on process improvement using structured methodologies and modern technologies like GenAI, Agentic AI, and Conversational AI Bots. Key Responsibilities: Lead and execute transformation initiatives in contact center and customer experience domains Conduct Process Discoveries, Customer Journey Mapping, and gap analyses Drive improvements using DMAIC methodology and Lean Six Sigma tools Implement solutions involving RPA, AI-enabled bots, and other emerging technologies Collaborate across delivery, sales, and technology teams Facilitate client interactions and support pre-sales, orals, and due diligence Foster a problem-solving culture through training and mentoring Mandatory Qualifications: Green Belt certified (mandatory), Black Belt preferred 5+ years of total experience, with 3+ years specifically in digital transformation Hands-on with Visio, knowledge of GenAI, Agentic AI, Conversational Bots Strong exposure to contact center / CX transformation