We are seeking a Solution Consultant to lead the technical success and implementation of the AOTM Intelligent Automation Platform (IAP) for our global enterprise clients. This is a high-impact, client-facing role combining technical presales, solution design, integration expertise, and implementation ownership. You will be responsible for ensuring the end-to-end success of AOTM deployments, from discovery and PoCs to final delivery and adoption, acting as the trusted advisor to client stakeholders across IT, operations, and business functions. Role & responsibilities Technical Presales Leadership: Own technical discovery, architecture, and solution design discussions in partnership with the sales team. End-to-End Implementation Ownership: Lead the success of AOTM IAP implementation for clientsensuring alignment from presales to delivery and value realization. Demos & Client Workshops: Deliver high-impact product demonstrations and solution walkthroughs to global enterprise clients, highlighting real-world business value. PoCs: Design and execute tailored Proof-of-Concepts that validate AOTMs effectiveness across domains like BFSI, Supply Chain, and Manufacturing. Solution Design & Architecture: Define scalable, enterprise-grade automation architectures integrated with ERP and legacy systems. Integration Management: Work closely with engineering to ensure robust API integration with platforms like SAP, Oracle, MS Dynamics, and cloud ecosystems (AWS, Azure, GCP). Customer Success Enablement: Guide global clients through implementation planning, training, adoption, and ongoing success with the platform. Compliance & Security Oversight: Ensure solutions meet enterprise-grade standards for security, privacy, and compliance (e.g., ISO, GDPR). Cross-Functional Coordination: Act as a liaison between clients, product, engineering, and delivery teams to drive project alignment and innovation. Preferred candidate profile 5 to 10 years of experience in AI/ML-driven automation, IDP, NLP, or enterprise solutioning. Proven experience delivering technical demos and PoCs to global clients in complex, multi-stakeholder environments. Deep understanding of ERP ecosystems, API integration, and enterprise architecture. Experience with cloud platforms (AWS, Azure, GCP) and workflow automation tools Excellent communication, technical storytelling, and stakeholder engagement skills. Bachelors or Masters degree in Computer Science, Engineering, or related field with an MBA is preferred. Preferred Qualifications •Industry experience in BFSI, Pharma, Textiles, Life Sciences Manufacturing, or Supply Chain preferred. •Strong business orientation with the ability to explain technical solutions in terms of business outcomes and ROI. •Familiarity with automation platforms, low-code/no-code solutions, and RPA & AI Platforms •Knowledge of data governance, compliance standards, and enterprise IT infrastructure. This is a pivotal role in ensuring our clients succeed in their AI-driven automation journey. If you're a technically skilled, business-savvy consultant with a passion for innovation and enterprise transformation, wed love to connect.

We are seeking a proactive and driven Technical Sales Manager with a strong command of AI-based products and a passion for technology-driven solutions. The ideal candidate will have exceptional presentation and interpersonal skills , deep experience in international markets (US, UK, APEC) , and familiarity with Finance, Healthcare, and Textile domains. This role requires a mix of technical acumen, sales strategy, and market understanding to identify opportunities and build lasting client relationships. Role & responsibilities Deliver impactful presentations and demonstrations of AI/ML-driven solutions tailored to client needs. Generate and qualify leads across the US, UK, and APEC markets , driving the full sales cycle from prospecting to closure. Understand client pain points in Finance, Healthcare, and Textile industries , and offer relevant tech solutions. Stay up-to-date with the latest in AI, cloud, analytics, and emerging technologies , and translate that knowledge into client value. Collaborate with cross-functional teams (Product, Marketing, Engineering) to align customer needs with offerings. Represent the company at trade shows, online webinars, and industry-specific events. Foster strong, long-term relationships with enterprise clients and partners. Operate with a go-getter attitude , taking ownership of targets and new business opportunities. Preferred candidate profile Bachelor's degree in Engineering, Computer Science, Business, or a related field; MBA is a plus. Minimum 5 years in technical sales or solution consulting , preferably in AI/Tech/Software industries. Proven success in handling clients across the US, UK, and APEC markets . Domain knowledge or project experience in Finance, Healthcare, and Textile sectors is highly preferred. Strong lead generation and deal-closing capabilities , with a consultative sales approach. Excellent communication, negotiation, and team collaboration skills. Comfortable working in a fast-paced, dynamic environment with minimal supervision. Willingness to travel internationally as needed.

Job Title: Senior Architect AI Platform & Engineering Location: Bangalore Mode: Work from Office Job Summary: We are seeking an experienced Senior Architect AI Platform & Engineering to lead the architectural design and technical strategy of our AI-driven platform. The ideal candidate will have a deep understanding of AI/ML frameworks, AI model deployment, cloud platforms, distributed computing, and solution architecture. This role demands a strong background in solution architecture and hands-on expertise in AI/ML technologies, ensuring the scalability, security, and efficiency of our AI products and platform. Key Responsibilities: 1. AI Platform and Product Architecture: • Define and design the end-to-end architecture of an AI-driven platform, ensuring scalability, reliability, and security. • • • • Architect and design AI/ML pipelines, inference engines, and model serving infrastructure. Develop microservices-based architecture to support AI workloads and data-driven applications. Ensure seamless integration of AI models into the platform and applications. Define and implement MLOps best practices to streamline AI/ML lifecycle management. 2. AI/ML Frameworks & Model Deployment: • Work with TensorFlow, PyTorch, Hugging Face, ONNX, and other AI frameworks to optimize model training and deployment. • • • Architect model-serving solutions using KServe, TensorFlow Serving or equivalent. Optimize AI model performance for low-latency, high-throughput inference. Implement AI governance and compliance frameworks for responsible AI practices. 3. Cloud & Infrastructure: • • • • Design AI platform solutions for AWS, OCI, GCP, and hybrid/multi-cloud environments. Leverage Kubernetes, Docker, and serverless computing to manage AI workloads efficiently. Implement data lake, feature store, and real-time analytics architectures. Design and optimize GPU/TPU-based infrastructure for AI workloads. 4. Solution Architecture & Engineering Leadership: • • Provide technical leadership in designing AI solutions, working closely with product managers, data scientists, and engineering teams. Collaborate with product management, data scientists, and engineering teams to align AI architecture with business objectives. • • • • Develop high-level and detailed solution architecture for AI-driven applications and platforms. Lead proof-of-concepts (PoCs) and pilot projects to validate AI-driven solutions. Provide technical mentorship and guidance to engineering teams. Conduct architectural reviews and ensure adherence to best practices and industry standards. 5. AI Security & Compliance: • • • Design AI architectures with a strong focus on data security, privacy, and compliance (GDPR, HIPAA, SOC2 etc.). Implement secure model training, explainability (XAI), and adversarial attack mitigation techniques. Ensure secure API integrations for AI models and services. Required Qualifications & Skills: Key Technical Skills: • • • • • • • AI/ML Architecture: Proven expertise in designing scalable AI/ML architectures, including deep learning, reinforcement learning, NLP, and computer vision. Cloud & Infrastructure: Hands-on experience with cloud-native architectures on AWS, Google Cloud, and Azure. Containerization & Orchestration: Proficiency in Docker, Kubernetes, and container orchestration for scalable AI/ML deployments. Data Engineering & MLOps: Strong understanding of data pipelines, big data management (Kafka, Spark, Hadoop), and MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI). Microservices & APIs: Skilled in designing high-performance, scalable, and maintainable microservices architectures. Security & Compliance: In-depth knowledge of AI security best practices, model governance, encryption, and access control in cloud and on-prem environments. DevOps & CI/CD: Experience with CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and automated AI/ML deployment workflows. • • LLMs & Generative AI: Exposure to Large Language Models (LLMs) and Generative AI applications. Enterprise AI & Product Management: Experience in developing and managing AI-driven enterprise solutions and AI product lifecycle management. Experience & Qualifications: • • • • • • • Experience: Minimum 7 years of experience in software engineering, AI/ML architecture, and platform engineering, with at least 5 years in as an architect. Educational Qualification: Masters degree in Computer Science, Engineering, AI, or a related technical field. Architecture & Design: Proven experience in designing and architecting scalable, distributed, and secure platforms for AI/ML applications at scale. AI/ML Expertise: Strong background in developing and deploying machine learning models in production, and experience with AI frameworks such as TensorFlow, PyTorch, and Keras. Cloud Expertise: Hands-on experience with cloud-native architecture, containerization, and serverless computing in cloud environments. Leadership: Proven experience in leading technical teams, mentoring engineers, and driving architectural decisions across large-scale projects. Certifications in cloud platforms (AWS, Azure, GCP) or AI-related technologies. Soft Skills & Leadership: • • Strong problem-solving and analytical skills. Ability to communicate technical concepts effectively to both technical and non-technical stakeholders. • • Experience leading and mentoring engineering teams. Ability to collaborate with cross-functional teams, including product, engineering, and data science teams. • Strong documentation and presentation skills. Why Join Us? • • • • Work on cutting-edge AI/ML technologies in a fast-paced and innovative environment. Collaborate with industry experts, data scientists, and AI researchers. Competitive compensation and career growth opportunities. A culture of continuous learning, innovation, and excellence. If you are passionate about AI and want to drive the next-generation AI platforms, we would love to hear from you!

We are looking for a skilled React.js Developer to join our development team. The ideal candidate should have strong expertise in React.js, JavaScript, Redux-Saga, third-party libraries, and Material-UI (MUI) to build scalable and responsive web applications. The role requires a deep understanding of NPM package management to optimize development workflows and enhance application functionality. Role & responsibilities Develop and maintain user-facing features using React.js, JavaScript, and Redux-Saga. Build responsive UI using HTML, CSS, and Material-UI (MUI). Integrate third-party libraries and NPM packages for enhanced functionality. Manage state and side effects efficiently using Redux-Saga. Write clean, modular, and reusable code following best practices. Optimize components for maximum performance across various devices and browsers. Work closely with backend developers to integrate RESTful APIs. Debug and troubleshoot UI/UX issues to ensure smooth user experience. Collaborate with designers and product teams to deliver pixel-perfect UI. Stay updated with the latest trends and advancements in React.js and JavaScript, React hooks Preferred candidate profile • Frontend Technologies: React.js, JavaScript, HTML5, CSS3 • State Management: Redux, Redux-Saga • UI Frameworks & Libraries: Material-UI (MUI), Bootstrap, Tailwind CSS • API Integration: RESTful APIs, Axios, Fetch • Version Control: Git, GitHub, GitLab • Build Tools: Webpack, Babel, Vite • Testing: Jest, React Testing Library • Performance Optimization: Lazy Loading, Code Splitting, Memoization • NPM Package Usage: Installing, updating, and managing dependencies effectively • Third-Party Libraries: React Query, React Hook Form, Moment.js, Chart.js, etc.