Job Title: Senior AI Engineer (Data-Focused) Experience Level: 2–3 Years (Mandatory) About Us At Data-Hat AI , we build cutting-edge AI Agent and Generative AI solutions that solve real business problems across industries. With teams in Silicon Valley, India, and the UK, we specialize in intelligent automation, scalable AI systems, and data-driven innovation. We’re seeking a Senior AI Engineer who thrives on working with data, automating pipelines, and creating reliable backend systems that serve the needs of intelligent agents and enterprise AI applications. Role Overview As a Senior AI Engineer, you will play a key role in developing robust AI and data pipelines that power our core products and solutions. You’ll work closely with AI researchers, data scientists, and product teams to operationalize data and make AI insights reliable and actionable. Key Responsibilities Design and develop ETL pipelines for both structured and unstructured data sources Create and manage data workflows, including scheduled cron jobs and batch/streaming pipelines Implement and optimize data ingestion, transformation, and storage solutions Work with MongoDB, SQL, and other data storage tools for managing enterprise-scale datasets Integrate and manage pub/sub architectures using tools like Kafka and Redis Build and deploy FastAPI-based microservices that serve AI model outputs or support internal tools Collaborate on early-stage Agentic AI projects, contributing to infrastructure and data workflows Write clean, scalable, and well-documented Python code following best practices Must-Have Qualifications 2–3 years of hands-on experience in software development with strong focus on Python Proven experience building data-centric backend systems Deep understanding of ETL pipelines, APIs, and data processing best practices Proficiency in MongoDB, PostgreSQL, or similar databases Exposure to streaming/messaging systems like Kafka, Redis, or RabbitMQ Experience in scheduling and managing automated jobs (e.g., Cron, Airflow, Prefect) Nice to Have Experience with FastAPI or similar Python frameworks Exposure to Agentic AI concepts or frameworks (e.g., LangChain, crewAI, AutoGen) Familiarity with deploying services on AWS, GCP, or Azure Why Join Us? Work with a globally recognized team of AI innovators and engineers Build production-grade AI systems that impact real business outcomes Opportunity to work on next-gen AI Agents and GenAI use cases Competitive compensation, remote flexibility, and a collaborative culture To Apply: Email your resume and any GitHub or project links t o hiring@data-hatai.com with subject line: Senior AI Engineer Application Show more Show less
Job Title: Senior AI Engineer (Data-Focused) Experience Level: 2–3 Years (Mandatory) About Us At Data-Hat AI, we build cutting-edge AI Agent and Generative AI solutions that solve real business problems across industries. With teams in Silicon Valley, India, and the UK, we specialize in intelligent automation, scalable AI systems, and data-driven innovation. We’re seeking a Senior AI Engineer who thrives on working with data, automating pipelines, and creating reliable backend systems that serve the needs of intelligent agents and enterprise AI applications. Role Overview As a Senior AI Engineer, you will play a key role in developing robust AI and data pipelines that power our core products and solutions. You’ll work closely with AI researchers, data scientists, and product teams to operationalize data and make AI insights reliable and actionable. Key Responsibilities Design and develop ETL pipelines for both structured and unstructured data sources Create and manage data workflows, including scheduled cron jobs and batch/streaming pipelines Implement and optimize data ingestion, transformation, and storage solutions Work with MongoDB, SQL, and other data storage tools for managing enterprise-scale datasets Integrate and manage pub/sub architectures using tools like Kafka and Redis Build and deploy FastAPI-based microservices that serve AI model outputs or support internal tools Collaborate on early-stage Agentic AI projects, contributing to infrastructure and data workflows Write clean, scalable, and well-documented Python code following best practices Must-Have Qualifications 2–3 years of hands-on experience in software development with strong focus on Python Proven experience building data-centric backend systems Deep understanding of ETL pipelines, APIs, and data processing best practices Proficiency in MongoDB, PostgreSQL, or similar databases Exposure to streaming/messaging systems like Kafka, Redis, or RabbitMQ Experience in scheduling and managing automated jobs (e.g., Cron, Airflow, Prefect) Nice to Have Experience with FastAPI or similar Python frameworks Exposure to Agentic AI concepts or frameworks (e.g., LangChain, crewAI, AutoGen) Familiarity with deploying services on AWS, GCP, or Azure Why Join Us? Work with a globally recognized team of AI innovators and engineers Build production-grade AI systems that impact real business outcomes Opportunity to work on next-gen AI Agents and GenAI use cases Competitive compensation, remote flexibility, and a collaborative culture To Apply: Email your resume and any GitHub or project links to hiring@data-hatai.com with subject line: Senior AI Engineer Application Show more Show less
Company Description Data-Hat AI specializes in solving business problems using GenAI and AI Agents— with a comprehensive framework for Responsible AI development. We help enterprises unlock the full potential of their data and AI initiatives, ensuring strategic impact and operational excellence. Our expertise extends to improving data quality and trust, building robust knowledge bases, and implementing AI-driven systems to automate processes and enhance decision-making. By integrating Agentic AI and Generative AI, we foster innovation and accelerate digital transformation to keep organizations ahead in a rapidly evolving market. Role Description This is a remote contract role for a senior Frontend and UI/UX Developer for AI systems at Data-Hat AI. The developer will be responsible for designing and implementing user interfaces for our AI-driven solutions, ensuring a seamless and intuitive user experience. Daily tasks will include collaborating with the AI and backend teams, translating complex functionalities into user-friendly interfaces, and conducting user research and usability testing. The role involves continuous improvement of the UI and UX based on user feedback and technological advancements. The role combines both a frontend development role with a UI/UX design role. The right candidate will be open to using Vercel, Cursor, etc. and do development that may not be just the frontend down the road. This is a startup and you will be doing many roles as needed. Specific requirements Must have experience as a frontend developer, UI designer and UX expertise with product development React, Node.js etc. mandatory designing enterprise-grade dashboards, workflows, and data-heavy interfaces. Skilled in creating design systems and component libraries in Figma. Strong understanding of information hierarchy, user flows, and UX patterns for productivity tools. Experience with accessibility standards (WCAG) and optimizing designs for performance and clarity. Qualifications Proficiency in Python, HTML, CSS, and JavaScript Exposure to AI, Generative AI and AI Agents preferred Experience with frontend frameworks like React, Angular, or Vue.js Strong understanding of UI/UX principles and best practices Experience in user research, usability testing, and prototyping Ability to collaborate effectively with cross-functional teams Excellent problem-solving skills and attention to detail Experience with version control systems such as Git Bachelor's degree in Computer Science, Design, or a related field is preferred Understanding of AI concepts and familiarity with AI-driven applications is a plus Show more Show less
Job Title: Technical Hands-on AI Senior Developer/Lead Location: Remote, India based. Company: Data-Hat AI Type: Full-time Contractor Experience Level: Senior (5+ years) About Data-Hat AI Data-Hat AI is a cutting-edge AI company building enterprise-grade Generative and Agentic AI solutions for high-impact industries such as pharma, retail, finance, and government. As a recognized leader in AI innovation, we are seeking a Technical Hands-on AI Lead to spearhead the design and development of advanced AI systems. This is a deeply technical role (not a people-management position) ideal for someone who thrives in fast-paced environments and enjoys building from the ground up. AI Agents, LLMs, RAGs, Voice interaction, Speech to text and text to speech (STT and TTS) Whisper and other APIs, etc. are important to this role. Role Description This is a full-time remote role for an AI Tech Lead (Hands-On). The AI Tech Lead will join an elite team - they will be peers to others with similar qualifications. They will be responsible for leading technical AI projects, developing and implementing advanced AI models, and collaborating with cross-functional teams. Day-to-day tasks include designing AI solutions, coding, debugging, conducting research, and staying updated with the latest AI advancements. The role also involves mentoring junior team members and ensuring the integration of best practices in AI development. Key Responsibilities Design and build agentic AI systems using orchestration tools such as LangChain, LangGraph, or similar. Architect and implement end-to-end AI/ML systems, from data pipelines to model deployment at scale. Lead technical initiatives and collaborate with cross-functional teams to deliver production-ready AI solutions. Develop, refine, and maintain LLM orchestration pipelines, prompt engineering frameworks, and multi-agent architectures. Whisper API, Speech to text, STT, Text to Speech, STT, Unreal Engine, Avatars, etc. Implement MLOps best practices, including: Automated model training and deployment CI/CD pipelines for ML Model versioning, monitoring, and retraining Write clean, production-grade Python code and mentor others on code quality and debugging. Build and manage infrastructure in cloud environments (AWS, GCP, or Azure), using Docker and Kubernetes. Rapidly prototype, test, and optimize Generative AI and Agentic AI systems in agile sprints. Context-switch across multiple concurrent projects while maintaining high-quality output. Stay on the frontier of AI advancements and integrate cutting-edge tools and techniques. Contribute to technical strategy, architecture decisions, and organizational best practices. Present and communicate complex technical ideas to technical peers and executive stakeholders. Required Skills & Experience 5+ years in AI/ML architecture and development, with a track record of end-to-end delivery. 1+ years in AI Agent development 4+ years of hands-on Python programming experience. 2+ years of experience in Generative AI (LLMs, image/audio generation) and agent-based AI systems. Strong expertise in AI and machine learning algorithms and frameworks Strong command of MLOps tooling, ML CI/CD, and monitoring frameworks. Proficient with cloud-native development and containerized environments (Docker, Kubernetes). Proven expertise in AI orchestration, autonomous agent design, and task automation using modern frameworks. Comfortable operating in a fast-moving, startup-style environment. Exceptional communication and presentation skills, with the ability to explain complex AI systems clearly. Demonstrated analytical thinking and creative problem-solving skills. Experience with vector databases, RAG architectures, or hybrid AI search systems. Why Join Us Work on cutting-edge AI products shaping the future of intelligent enterprises. Collaborate with a high-caliber team of AI experts and innovators. Flexible working environment with opportunities to impact real-world use cases globally. To Apply: Send your CV and a brief note about your relevant experience to [hiring@data-hat.com] with the subject line: AI Lead Application - [Your Name]
Role: AI Developer – Voice AI + Lifelike Avatars (India | Full-Time Remote) At Data-Hat AI, we're building the future of AI-powered interaction — where lifelike avatars speak, think, and respond like humans. We're looking for an AI Developer based in India who thrives at the intersection of Speech-to-Text, Text-to-Speech, and LLM-driven conversational AI. What You'll Work On: Build end-to-end STT + TTS pipelines using tools like Whisper, ElevenLabs, Unreal Engine, Polly, Azure TTS Integrate speech with lifelike avatars and holographic visuals Fine-tune LLMs (OpenAI, Cohere, Anthropic, etc.) to power dynamic conversations Deploy scalable, real-time systems on Azure or AWS Push the boundaries of what’s possible with expressive AI speech + 3D interaction What You Bring: 3+ years of Python development in AI/ML environments Hands-on with voice AI (Whisper, Polly, Azure Speech, etc.) Experience with Text-to-Speech (emotion, SSML, prosody control, unreal etc.) LLM experience (prompting, fine-tuning, API integration) Exposure to 3D avatar engines (Unity, Unreal, Ready Player Me, etc.) is a plus Solid cloud experience on Azure or AWS Location: Full-time Remote (India only) Why Join Us? Work on the cutting edge of voice, vision, and AI Help shape AI avatars and digital humans of the future Join a high-velocity, globally experienced team backed by top industry leaders Ready to build the future? Email your CV and any relevant project/demo links to hiring@data-hat.ai Let’s bring AI to life — literally.
Company Description Data-Hat AI specializes in AI, building a framework for Responsible AI that is used to solve business problems. Our solutions help enterprises maximize the potential of their data and AI initiatives for strategic impact and operational excellence. We assist businesses in gathering, refining, and improving data quality, enabling reliable insights and data-driven decision-making. Through our expertise in AI-driven systems, Data-Hat AI automates business processes, enhances human decision-making, and drives efficiency. Partner with us to accelerate digital transformation and foster innovation using Agentic and Generative AI. Role Description This is a full-time remote role for a 3-D Avatar Designer. The 3-D Avatar Designer will be responsible for creating 3D models and animations, focusing on lighting, graphic design, and 3D design. This role involves collaborating with various teams to bring digital characters and environments to life, ensuring visually compelling and realistic avatars. Data-Hat AI is building the future of conversational AI with lifelike, intelligent 3D avatars that engage, inform, and delight. We’re looking for a visionary 3D AI Avatar Designer to join our team and help bring our AI agents to life. You will design, build, and deploy production-grade avatars capable of realistic facial expressions, fluid movements, and seamless integration across platforms. What You’ll Do Design and develop high-quality 3D avatars in Unreal Engine or Unity for enterprise-grade AI applications. Other options can be considered and adopted - we need quick development, high quality and cost-effectiveness. Implement lifelike facial animations, gestures, and body movements that enhance human-AI interaction. Optimize avatars for real-time performance on cloud-based and on-premise deployments. Collaborate closely with AI engineers, UX designers, and product teams to integrate avatars with generative AI systems. Push the boundaries of realism and emotional expression in digital humans. What We’re Looking For Proven track record of building production-grade 3D avatars in Unreal or Unity. Expertise in facial rigging, blend shapes, and motion capture integration. Strong understanding of real-time rendering pipelines and performance optimization. Experience deploying 3D applications on cloud and on-premise environments . Knowledge of AI-driven animation techniques is a plus. Why Join Us? At Data-Hat AI, you’ll work at the intersection of AI, design, and human experience – shaping how enterprises interact with their AI agents. You’ll be part of a diverse team solving some of the most exciting challenges in AI and immersive technologies. Ready to bring AI avatars to life? Apply now and let’s build the future together. Qualifications 3D Design and Graphic Design skills Unreal Engine Experience in Lighting and Animation techniques Proficiency in 3D Modeling Strong attention to detail and creativity Excellent communication and collaboration skills Ability to work independently and meet deadlines Experience with AI and digital transformation is a plus Bachelor's degree in Design, Animation, Fine Arts, or related field
Senior Platform Engineer (Microsoft Fabric) Location: Interim contract, Remote - India Company: Data-Hat AI About Us At Data-Hat AI, we’re building enterprise-grade AI and data solutions that transform how organizations understand and use their data. Led by a Global Top 100 CDO , we work with Fortune 500s and governments to deliver cutting-edge AI agents, Responsible AI systems, and intelligent analytics platforms. We’re now standing up a brand new Microsoft Fabric instance – the foundation of our next-generation analytics platform – and we’re looking for a Senior Platform Engineer who can make it happen. The Role You’ll be the technical lead in setting up and configuring Microsoft Fabric from the ground up. This includes integrating Power BI as the front-end, ingesting datasets from multiple sources (Marketing, CRM, and more), and ensuring the platform is optimized for speed, scalability, and security. What You’ll Do Stand up and configure a new Microsoft Fabric environment end-to-end. Integrate Power BI for enterprise reporting and self-service analytics. Ingest, model, and manage datasets from diverse sources (Marketing, CRM, ERP, etc.). Design and enforce data governance, access controls, and best practices. Build scalable pipelines and datasets for high-performance dashboards. Collaborate with data analysts, AI engineers, and business teams to deliver insights. What We’re Looking For Proven experience deploying and managing Microsoft Fabric and Power BI at scale. Strong understanding of data ingestion, transformation, and governance. Hands-on experience with connecting to multiple enterprise data sources. Expertise in data modeling, DAX, and performance optimization in Power BI. Familiarity with Marketing and CRM data ecosystems (Salesforce, Dynamics, HubSpot, etc.). Ability to design for scalability, security, and maintainability. Why Join Us Work on a greenfield Microsoft Fabric implementation – make it your own. Be part of a high-calibre, award-winning AI and data leadership team. Collaborate with global enterprises on impactful AI and analytics projects. Competitive compensation and career growth in a scaling AI company. Apply now to shape the foundation of our enterprise analytics platform. Join us in putting the Hat on the future of AI-powered business intelligence.
Senior Software Project Manager – India Fluency in English required Are you a proven Project Manager with a passion for leading complex software initiatives? Do you thrive at the intersection of technology, people, and business outcomes? We are looking for a Senior Software Project Manager to join our growing team and drive mission-critical AI and software projects from planning through delivery. What You’ll Do Lead end-to-end project management for enterprise-grade software and AI solutions. Collaborate with cross-functional teams (engineering, data, product, client stakeholders) across geographies. Define project scope, timelines, and deliverables, ensuring on-time, high-quality outcomes. Apply agile and hybrid methodologies to manage distributed teams. Communicate clearly with international stakeholders – status, risks, and progress updates. Champion process excellence, risk management, and stakeholder satisfaction. What We’re Looking For 8+ years of experience in software/IT project management (enterprise experience preferred). Strong knowledge of Agile/Scrum/Kanban, and comfortable adapting approaches. Proven track record in managing complex, multi-stakeholder projects. Exceptional communication skills in English (written & spoken). PMP, PRINCE2, or Agile certifications are a plus. Experience in AI/ML, cloud platforms (AWS/Azure), or data projects is an advantage. Why Join Us? Be part of a fast-growing, global AI & software company . Work with a team of industry veterans and innovators. Opportunities to lead projects across multiple industries (pharma, retail, finance, real estate, government). Flexible working culture with international exposure. If you are ready to take on a high-impact role where your leadership shapes cutting-edge AI and software solutions, we’d love to hear from you. Role Description This is a contract remote role for a Software Project Manager. The Software Project Manager will oversee the planning, execution, and completion of software projects. Responsibilities include managing project timelines, coordinating with development teams, conducting requirements analysis, and ensuring project deliverables meet quality standards. The Software Project Manager will also engage with stakeholders to provide updates and facilitate effective communication throughout the project lifecycle. Qualifications Software Project Management and Project Management skills Requirements Analysis and Analytical Skills Background in Software Development Strong organizational and time-management skills Excellent written and verbal communication skills Ability to work independently and remotely Experience in AI-driven and data-centric projects is a plus Bachelor's degree in Computer Science, Information Technology, or a related field Company Description Data-Hat AI specializes in Responsible AI development through its Agentic Architecture framework. Our solutions help enterprises maximize their data and AI initiatives for strategic and operational excellence. We improve data quality and trust, enabling reliable insights for decision-making. With Agentic AI, we automate business processes and enhance human decision-making, ensuring efficiency and optimized workflows. Data-Hat AI accelerates digital transformation and innovation, helping organizations stay competitive in a rapidly changing market.
Data-Hat AI is growing its Sales team in DehraDun, India. This is a local position - remote candidates will not be considered at this time. Must have - excellent command over spoken and written English, fluency is critical. Company Description Data-Hat AI is a leading Artificial Intelligence company based in Silicon Valley with presence in India, UK, and the Middle East. We help enterprises unlock the potential of their data and AI initiatives for both strategic impact and operational excellence. Data-Hat AI integrates Agentic AI and Generative AI to enhance business processes, drive efficiency, and accelerate digital transformation. Role Description This is a contract onsite role for an AI Sales Specialist. The AI Sales Specialist will be responsible for generating sales leads, managing client relationships, providing training on AI solutions, and supporting customers throughout their journey with our products. The specialist will also work with the rest of the sales team to manage sales processes, develop sales strategies, and work closely with the marketing and product teams to ensure customer needs are met and exceed targets. Qualifications Excellent English Communication and Customer Service skills Proven Sales and Deal Management experience Experience in working with clients and stakeholders on AI products Ability to work independently Strong problem-solving skills and a proactive attitude Bachelor's degree in Business, Marketing, Information Technology, or related field Experience in AI and technology sales is a plus Email your resume to hiring@data-hat.com and please apply here first.
PLEASE DO NOT APPLY IF NOT LOCATED IN DEHRADUN Role Description This is a contract role for an Analyst Intern - AI and Data experience located on-site in Dehradun. The Analyst Intern will assist in gathering and analyzing data, from multiple websites and sources and storing it using computers. The intern will also participate in developing AI-driven systems, optimizing business processes, and enhancing data quality for reliable insights. E ffective communication and collaboration with team members are essential for problem-solving and decision-support tasks. Must know how to use computers. Qualifications Computer use - must be proficient with computers Microsoft Excel, Powerpoint and Word Strong English Communication skills Ability to work collaboratively and on-site in Dehradun Familiarity with AI and data-driven decision-making processes Bachelor's degree in Data Science, Statistics, Computer Science, or a related field is preferred
Internship Opportunity: Executive Assistant to the CEO – Dehradun, India Data-Hat AI is looking for a sharp, ambitious Executive Assistant Intern to directly support our CEO in Dehradun. This role is ideal for someone who thrives in fast-paced environments, is eager to learn, and wants to be at the heart of a global AI startup. Location: Onsite – Dehradun, India (daily commuting required) Type: Internship (Full-time, office-based) Responsibilities Manage and organize a hectic international schedule, coordinating across time zones. Draft, review, and manage high-quality written communication for global stakeholders. Prepare presentations, reports, and documentation using Microsoft Office tools. Assist with meetings, follow-ups, and communications with executives and partners across continents. Conduct light research and provide support in AI-related initiatives and projects. Requirements Excellent English communication skills (both written and spoken – absolutely essential). Strong command of Microsoft Office tools (Word, PowerPoint, Excel, Outlook). Must be based in Dehradun and able to commute daily to the office. Basic understanding of Artificial Intelligence concepts. Proven ability to manage pressure, multitask, and coordinate with senior stakeholders worldwide. What You’ll Gain Hands-on exposure to working with a globally recognized AI leader and entrepreneur. Practical experience managing operations in a Silicon Valley–style AI startup. Opportunities to build your professional network across the US, UK, EU, Middle East, and India. A front-row seat to the AI transformation journey in enterprises worldwide. If you’re organized, articulate, tech-savvy, and hungry to learn, this is your chance to make a real impact. How to Apply: Send your resume to hiring@data-hat.com and a short note on why you’re the right fit. The ideal candidate for this position will excel if they can keep their calm in a high pressure environment coordinating the logistics of the CEO of the company. The candidate should have some relevant experience to the role that highlights their capability to conduct all administrative work, making sure the CEO's operations run smoothly. Thus, the candidate should be detail oriented and a creative problem solver.
Department: AI Strategy & Implementation Reports To: Lead AI Solutions Architect Location: Remote with International Travel as Required Position Summary: We are seeking a highly experienced AI Consultant / Business Analyst to lead the strategic planning, technical execution, and business alignment of Artificial Intelligence (AI) initiatives both within Qatar and globally. This role bridges the gap between technical AI system implementation and business transformation, requiring a seasoned professional with a minimum of 12 years of hands-on experience in data engineering, infrastructure architecture, and AI/ML integration, along with strong consulting and stakeholder management skills. As a key member of the AI Strategy & Implementation team, you will work at the intersection of business goals and advanced technical architectures, helping organizations identify AI-driven opportunities, define data strategies, and implement scalable AI solutions. This is a client-facing position that requires international travel, cross-functional collaboration, and the ability to communicate complex technical concepts in a business-oriented manner. Key Responsibilities: 🔹 Strategic Consulting & Business Analysis Lead end-to-end AI opportunity assessments, aligning use cases with enterprise-level objectives. Collaborate with senior business leaders to translate strategic goals into actionable technical roadmaps. Conduct gap analysis between current capabilities and desired future states to shape AI adoption strategy. 🔹 Technical Design & Implementation Architect and deploy cloud-native data pipelines for large-scale data ingestion, transformation, and processing, ensuring high availability, scalability, and compliance. Design and maintain AI infrastructure, including containerized environments, data lakes, model repositories, and orchestration tools. Collaborate with Data Scientists and MLOps teams to ensure seamless integration of AI/ML models into operational systems. 🔹 Data Engineering & Governance Build and manage ETL/ELT pipelines using modern data stack tools (e.g., Airflow, dbt). Enforce data governance, lineage tracking, and quality standards to ensure trustworthy AI outputs. Optimize data workflows and storage across cloud-based environments such as AWS, Azure, or GCP. 🔹 AI Model Deployment & Lifecycle Management Assist in model operationalization using platforms like SageMaker, Azure ML, or Vertex AI. Define monitoring, drift detection, and retraining strategies to maintain AI system performance over time. Support continuous integration and deployment (CI/CD) pipelines for AI applications. 🔹 Stakeholder Engagement & Communication Conduct stakeholder workshops, requirement elicitation sessions, and solution presentations. Serve as a liaison between business units, data teams, and executive leadership to ensure cross-functional alignment. Deliver compelling technical documentation, business cases, and performance reports to diverse audiences. 🔹 International Collaboration & Delivery Travel as needed to support client engagements, system rollouts, and capability-building initiatives across various countries. Foster collaboration across multicultural and interdisciplinary teams. Contribute to knowledge sharing and thought leadership on AI strategy and innovation. Required Qualifications: Education & Experience: Bachelor’s degree in computer science, Data Science, Engineering, or a related technical field. A master’s degree is highly preferred. 12+ years of professional experience, including: 5+ years in AI/ML systems implementation 7+ years in data engineering, infrastructure, or cloud architecture roles Proven record of consulting or client-facing solution delivery Technical Proficiency: Data Warehousing: Expertise with platforms like Snowflake, Redshift, BigQuery Cloud Platforms: Deep hands-on experience with at least one major cloud provider (AWS, Azure, GCP) ML Frameworks: Strong understanding of TensorFlow, PyTorch, Scikit-learn Languages & Tools: Proficient in Python, SQL; experience with Shell, Bash, or other scripting languages is a plus Orchestration & Containers: Familiarity with Docker, Kubernetes, Airflow, or similar technologies Data Governance: Understanding of privacy regulations, metadata management, and quality frameworks Soft Skills & Business Acumen: Strong ability to explain technical solutions in non-technical terms to C-level stakeholders. Proven leadership in cross-functional team environments and international contexts. Excellent communication, stakeholder engagement, and presentation skills. Strategic mindset with a consultative approach to complex problem solving. Travel Requirements: Willingness and ability to travel internationally (up to 30–40%) to support project delivery and stakeholder engagement. Desirable Qualifications: Certifications in AWS/Azure/GCP cloud architecture or ML specialization Experience with MLOps practices and tooling Background in AI Ethics, Responsible AI, or data privacy frameworks Company Description Generative AI solutions are reshaping how we work, and AI Agents are the future. Data-Hat AI assists Enterprises in navigating the AI landscape and building profitable and scalable Enterprise AI solutions. As transformation leaders implore the AI landscape, they seek experts to assist in developing solutions and building strategies. And that’s where Data-Hat AI comes in! Guided by an industry veteran, Kshitij Kumar (KK), who has over 2 decades of experience in introducing and implementing Data and AI solutions in Large Enterprises in the US, UK and Europe; a global team of AI and ML experts design Enterprise level AI, GenAI and AI Agent solutions. We go beyond product development, we collaborate with stakeholders and technology leaders to build a Data and AI strategy, develop a Minimal Viable Product (MVP) and establish ROI. We help Enterprises with impactful AI solutions development.
Department: Data Engineering & AI Solutions Reports To: Lead Data Solutions Architect Travel: International travel required (up to 30–40%) Position Summary: We are hiring a senior-level Data Engineer to lead the design, development, and optimization of high-performance data infrastructure that underpins mission-critical AI systems. With 12+ years of experience, you’ll be responsible for implementing robust data pipelines, enforcing governance frameworks, and ensuring end-to-end data accessibility for advanced machine learning and analytics use cases. This is a strategic and hands-on role that sits at the heart of AI delivery, demanding a combination of deep technical acumen, system architecture expertise, and the ability to collaborate across business, data science, and engineering teams. The ideal candidate combines technical mastery with a consultative mindset and is capable of aligning technical workstreams with business outcomes. Key Responsibilities: 🔹 Data Pipeline Engineering Design, build, and maintain cloud-native, scalable ETL/ELT pipelines for structured and unstructured data ingestion, transformation, and delivery. Leverage tools such as Apache Airflow, dbt, Spark, Kafka, and native cloud data services to optimize data flow and processing latency. Implement event-driven architectures and real-time data streaming solutions where applicable. 🔹 Data Infrastructure Architecture Architect and manage data infrastructure components across cloud environments (AWS, Azure, GCP), including storage, compute, orchestration, and security layers. Enable containerized deployment of data services using Docker and Kubernetes, ensuring high availability and scalability of infrastructure. Ensure data systems are optimized for AI workloads, including support for large-scale model training and real-time inference. 🔹 Data Modeling & Governance Design and implement enterprise-grade data models, schema definitions, and metadata management practices. Enforce data governance policies, lineage tracking, access control, and compliance standards (e.g., GDPR, ISO 27001). Establish data quality frameworks, including anomaly detection, validation rules, and automated monitoring mechanisms. 🔹 Collaboration & Stakeholder Engagement Act as a technical liaison between Data Scientists, ML Engineers, Business Analysts, and senior stakeholders to ensure alignment of data architecture with AI goals. Lead technical workshops and provide mentorship to junior engineers and project teams. Translate high-level business requirements into detailed technical execution plans. 🔹 Optimization & Monitoring Proactively monitor pipeline performance, identify system bottlenecks, and implement enhancements for throughput, latency, and cost-efficiency. Set up automated alerts, logging, and dashboarding using observability tools (e.g., Prometheus, Grafana, CloudWatch). 🔹 Documentation & Knowledge Sharing Develop and maintain comprehensive documentation covering data flows, infrastructure configuration, architectural decisions, and operational procedures. Deliver internal training sessions and contribute to reusable libraries, templates, and engineering standards. 🔹 International Implementation Support Travel internationally to work directly with clients and partners, conducting technical assessments, supporting deployments, and providing hands-on engineering leadership in the field. Required Qualifications: 🔹 Education: Bachelor’s degree in Computer Science, Data Engineering, or a related technical discipline is required. Master’s degree in Data Science, Information Systems, or Software Engineering is highly preferred . 🔹 Technical Expertise: Data Warehousing & Lakehouse : Advanced experience with Snowflake, Redshift, BigQuery, or Delta Lake architectures. Cloud Platforms : Deep hands-on expertise in at least one major cloud provider (AWS, Azure, GCP). ETL/ELT Tools : Proficient with dbt, Apache Airflow, Informatica, or similar. Programming Languages : Strong coding skills in Python (essential), SQL (advanced), and optionally Scala or Java. Containerization & Orchestration : Experience with Docker, Kubernetes , and Helm. CI/CD Pipelines : Familiarity with tools like GitLab CI, Jenkins, or cloud-native DevOps pipelines. Security & Compliance : Knowledge of role-based access control, encryption, data masking, and regulatory compliance frameworks. Soft Skills & Leadership: Strong interpersonal and communication skills - capable of working across cultures, geographies, and organizational levels. Proven ability to lead technical conversations with business context and explain abstract data architecture in understandable terms. Demonstrated success in client-facing roles or cross-functional teams. High degree of ownership, autonomy, and problem-solving capability. Preferred/Bonus Qualifications: Certifications in AWS/Azure/GCP data or ML specialties. Experience in MLOps and AI/ML model deployment lifecycles. Background in sectors such as government, energy, or finance. Company Description Generative AI solutions are reshaping how we work, and AI Agents are the future. Data-Hat AI assists Enterprises in navigating the AI landscape and building profitable and scalable Enterprise AI solutions. As transformation leaders implore the AI landscape, they seek experts to assist in developing solutions and building strategies. And that’s where Data-Hat AI comes in! Guided by an industry veteran, Kshitij Kumar (KK), who has over 2 decades of experience in introducing and implementing Data and AI solutions in Large Enterprises in the US, UK and Europe; a global team of AI and ML experts design Enterprise level AI, GenAI and AI Agent solutions. We go beyond product development, we collaborate with stakeholders and technology leaders to build a Data and AI strategy, develop a Minimal Viable Product (MVP) and establish ROI. We help Enterprises with impactful AI solutions development.
Department: AI Strategy & Implementation Reports To: Chief AI Officer / Lead AI Solutions Architect Travel: International travel required Position Summary: We are seeking an AI Solutions Architect with over 20 years of experience to serve as a strategic and technical leader in the design, implementation, and evolution of enterprise-grade AI systems. This role combines architectural vision, hands-on expertise, and executive-level collaboration to ensure AI technologies are not only cutting-edge but also deeply aligned with business outcomes. The ideal candidate is both a visionary and a practitioner , capable of designing scalable AI architectures from the ground up while guiding cross-functional teams across multiple geographies. This role requires deep proficiency in cloud-native AI infrastructure, data engineering, and machine learning, as well as a strong grasp of governance, compliance, and risk frameworks in high-impact environments. Key Responsibilities: Strategic Vision & Road mapping Define and evolve the long-term AI architecture strategy in alignment with business objectives and industry trends. Develop technology roadmaps for AI capability development, ensuring scalability, sustainability, and adaptability. Serve as an AI thought leader across internal and external stakeholders, influencing organizational direction and client strategy. Architectural Leadership Lead the design and oversight of end-to-end AI system architectures, including data ingestion, model training, orchestration, deployment, and monitoring. Integrate ML, NLP, Computer Vision, Deep Learning, and Reinforcement Learning models into scalable production environments. Balance performance, reliability, security, and cost-efficiency in system design, ensuring real-time and batch AI capabilities. Cloud & Data Infrastructure Architect cloud-native infrastructure leveraging AWS, Azure, or GCP, using services such as SageMaker, Azure ML, BigQuery, Redshift, and Kubernetes. Design robust, secure data pipelines (ETL/ELT) that meet the demanding requirements of AI workloads. Ensure system integrity, fault tolerance, and business continuity across distributed architectures. Cross-Functional & Executive Collaboration Act as a bridge between technical teams and executive leadership, translating strategic vision into actionable architecture. Engage directly with clients, product leaders, and domain experts to define solution requirements and ensure alignment with organizational objectives. Lead architectural reviews, capability assessments, and technical workshops with stakeholders across regions. Leadership & Mentorship Mentor and guide cross-functional teams, including Data Scientists, ML Engineers, Data Engineers, and Solution Architects. Establish engineering best practices, architectural standards, and governance frameworks across projects. Build internal capacity through training, knowledge sharing, and community-of-practice leadership. Governance, Risk & Compliance Develop and enforce AI governance, including ethical AI guidelines, bias mitigation strategies, and model explainability standards. Ensure compliance with global data privacy regulations such as GDPR, CCPA, and regional data sovereignty laws. Identify and manage technical and operational risks across the AI solution lifecycle. Global Engagement & Delivery Travel internationally to lead architectural engagements, support regional solution delivery, and advise clients on AI system implementation. Support pre-sales and client-facing activities by providing architectural blueprints, technical proposals, and solution prototypes. Required Qualifications: Education: Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field is highly preferred. Bachelor's degree with exceptional industry experience and certifications may be considered. Experience: 20+ years of progressive experience in software engineering, data architecture, and AI system design. Minimum 10 years in AI/ML-specific architecture, with demonstrated leadership in enterprise or mission-critical environments. Proven track record of delivering large-scale AI solutions across multiple industries (e.g., government, finance, energy, healthcare). Technical Proficiency: Machine Learning/AI : Deep expertise in ML frameworks (TensorFlow, PyTorch), advanced analytics, NLP, Computer Vision, and MLOps. Cloud Platforms : Expert-level knowledge of AWS, Azure, or GCP, including AI/ML PaaS services. Data Engineering : Strong command of data pipelines, real-time processing, and orchestration tools (Apache Airflow, Kafka, Spark). Infrastructure & DevOps : Skilled in containerization (Docker, Kubernetes) and automated CI/CD pipelines. Architecture & Security : In-depth understanding of microservices, distributed systems, API management, and data security protocols. Leadership & Communication: Outstanding strategic thinking, problem-solving, and communication skills. Ability to articulate complex technical concepts to executives, business users, and technical teams alike. Experience influencing cross-functional teams and managing multi-region AI initiatives. Preferred Certifications: AWS Certified Machine Learning – Specialty Azure AI Engineer Associate TOGAF or similar enterprise architecture certification PMP, SAFe, or Agile delivery methodologies Company Description Generative AI solutions are reshaping how we work, and AI Agents are the future. Data-Hat AI assists Enterprises in navigating the AI landscape and building profitable and scalable Enterprise AI solutions. As transformation leaders implore the AI landscape, they seek experts to assist in developing solutions and building strategies. And that’s where Data-Hat AI comes in! Guided by an industry veteran, Kshitij Kumar (KK), who has over 2 decades of experience in introducing and implementing Data and AI solutions in Large Enterprises in the US, UK and Europe; a global team of AI and ML experts design Enterprise level AI, GenAI and AI Agent solutions. We go beyond product development, we collaborate with stakeholders and technology leaders to build a Data and AI strategy, develop a Minimal Viable Product (MVP) and establish ROI. We help Enterprises with impactful AI solutions development.