Job Title: AI Value Delivery Implementation Manager Location: Remote (Preferably based near Bhopal or Delhi for occasional in-person collaboration) About Sutra Sutra AI is a groundbreaking AI business transformation platform designed specifically for Business Builders. Unlike platforms built for AI engineers or large enterprises with deep pockets, Sutra.AI delivers immediate, measurable business results for mid-market businesses without requiring any AI expertise. Developed over 3 years, Sutra.AI is a patent-pending ‘Data to Value’ AI SaaS platform that identifies and executes high-impact AI use cases. From operational efficiency and customer experience to revenue growth, profitability, innovation, and risk reduction. Sutra helps companies unlock real value from their data. Role Overview As an AI Value Delivery Implementation Manager, you will be responsible for translating Sutra’s AI platform capabilities into real-world business outcomes for our clients. This is a client-facing role that bridges product, engineering, and customer teams to ensure smooth and impactful implementation of AI use cases. You will lead implementation projects end-to-end, from onboarding and use case scoping to rollout, tracking outcomes, and ensuring that value is realized. Your focus will be on execution, stakeholder communication, and making AI work in real operational environments. Key Responsibilities Collaborate with clients to define business goals, map workflows, and identify key success metrics. Understand operational constraints and readiness to design realistic implementation plans. Drive cross-functional delivery across AI, product, and engineering teams. Ensure solutions are integrated into existing client systems and workflows smoothly. Build detailed project timelines and deliverables, own them end-to-end. Measure AI value delivery using performance KPIs, usage metrics, and business outcomes. Capture learnings and establish structured feedback loops with clients and internal teams. Iterate and optimize based on deployment insights. Act as the single point of contact for implementation-related discussions. Anticipate roadblocks and proactively communicate risks and resolutions. Build strong relationships with client teams across tech, ops, and strategy. What We’re Looking For 3–6 years of experience in implementation, customer success, program management, or consulting. Proven experience driving enterprise product delivery (AI/ML or SaaS experience is a plus. Strong understanding of AI/ML workflows and value drivers (you don’t need to code, but you understand the process. Excellent communication, stakeholder management, and problem-solving skills. Highly organized with strong ownership and bias for action. Comfortable working in fast-moving environments with limited structure. Why Sutra? Be part of a mission-driven team building real-world AI impact. Work remotely with flexibility and autonomy, with optional access to Bhopal or Delhi offices. Collaborate across AI, design, and business functions in a high-growth environment. Get exposure to cutting-edge enterprise use cases across industries. Help shape the future of AI value delivery for businesses that truly need it. Join us in our mission to make AI accessible, actionable, and impactful where every implementation delivers real value.
Job Title: AI Value Delivery Implementation Manager Location: Remote (Preferably based near Bhopal or Delhi for occasional in-person collaboration) About Sutra Sutra AI is a groundbreaking AI business transformation platform designed specifically for Business Builders. Unlike platforms built for AI engineers or large enterprises with deep pockets, Sutra.AI delivers immediate, measurable business results for mid-market businesses without requiring any AI expertise. Developed over 3 years, Sutra.AI is a patent-pending ‘Data to Value’ AI SaaS platform that identifies and executes high-impact AI use cases. From operational efficiency and customer experience to revenue growth, profitability, innovation, and risk reduction. Sutra helps companies unlock real value from their data. Role Overview As an AI Value Delivery Implementation Manager, you will be responsible for translating Sutra’s AI platform capabilities into real-world business outcomes for our clients. This is a client-facing role that bridges product, engineering, and customer teams to ensure smooth and impactful implementation of AI use cases. You will lead implementation projects end-to-end, from onboarding and use case scoping to rollout, tracking outcomes, and ensuring that value is realized. Your focus will be on execution, stakeholder communication, and making AI work in real operational environments. Key Responsibilities Collaborate with clients to define business goals, map workflows, and identify key success metrics. Understand operational constraints and readiness to design realistic implementation plans. Drive cross-functional delivery across AI, product, and engineering teams. Ensure solutions are integrated into existing client systems and workflows smoothly. Build detailed project timelines and deliverables, own them end-to-end. Measure AI value delivery using performance KPIs, usage metrics, and business outcomes. Capture learnings and establish structured feedback loops with clients and internal teams. Iterate and optimize based on deployment insights. Act as the single point of contact for implementation-related discussions. Anticipate roadblocks and proactively communicate risks and resolutions. Build strong relationships with client teams across tech, ops, and strategy. What We’re Looking For 3–6 years of experience in implementation, customer success, program management, or consulting. Proven experience driving enterprise product delivery (AI/ML or SaaS experience is a plus. Strong understanding of AI/ML workflows and value drivers (you don’t need to code, but you understand the process. Excellent communication, stakeholder management, and problem-solving skills. Highly organized with strong ownership and bias for action. Comfortable working in fast-moving environments with limited structure. Why Sutra? Be part of a mission-driven team building real-world AI impact. Work remotely with flexibility and autonomy, with optional access to Bhopal or Delhi offices. Collaborate across AI, design, and business functions in a high-growth environment. Get exposure to cutting-edge enterprise use cases across industries. Help shape the future of AI value delivery for businesses that truly need it. Join us in our mission to make AI accessible, actionable, and impactful where every implementation delivers real value.
Job Title: Full Stack Developer Location: Remote (Bhopal Preferred) About Sutra AI: Sutra AI is a groundbreaking AI business transformation platform designed specifically for Business Builders . Unlike other platforms built for AI developers or large enterprises with deep pockets, Sutra.AI delivers immediate business results for mid-market businesses without requiring AI expertise. Developed over 3 years, Sutra AI is a patent-pending ‘Data to Value’ AI SaaS platform that identifies and executes AI use cases to enhance operational efficiency, customer experience, revenue growth, profitability, innovation, and risk reduction. Role Overview: We are looking for a highly skilled and motivated Full Stack Developer to join our fast-growing team at Sutra.AI. You will play a key role in designing, developing, and scaling our AI-driven SaaS platform, ensuring seamless user experiences and robust backend architecture. This role is ideal for someone who thrives in fast-paced environments, loves solving real-world business problems with technology, and is eager to contribute to a product that is transforming mid-market businesses globally. Job Responsibilities: Design, develop, and maintain scalable full-stack applications for the Sutra AI platform. Collaborate with product, AI, and design teams to deliver intuitive and high-performance features. Build and optimize APIs for seamless integration with AI and business applications. Ensure responsive, cross-browser, and cross-device compatibility of front-end interfaces. Write clean, maintainable, and well-documented code with a strong focus on performance and security. Troubleshoot, debug, and upgrade existing systems as the platform scales. Stay updated with the latest tech stacks and propose improvements to architecture and workflow. Key Requirements: Minimum 2+ years of experience as a Full Stack Developer (SaaS or AI/ML product experience preferred). Strong proficiency in JavaScript/TypeScript, React (or Next.js), Node.js/Express.js. Experience with databases such as PostgreSQL, MongoDB, or MySQL. Familiarity with cloud platforms (AWS/GCP/Azure) and CI/CD pipelines. Knowledge of REST APIs/GraphQL and microservices architecture. Strong problem-solving skills with an ability to turn business needs into technical solutions. Passion for AI-driven innovation and building platforms that create measurable business impact. Why Join Sutra AI? Be part of a patent-pending AI platform that is redefining business transformation for mid-market enterprises. Work in a remote-first environment with flexibility (Bhopal preferred). Collaborate with a passionate team that values innovation, speed, and execution. Directly contribute to a product delivering real-world impact across industries. Growth opportunities in a rapidly scaling startup environment. Join us to build the future of AI-powered business transformation and make an impact that lasts.
Role: Senior Implementation Manager About Sutra.AI Sutra.AI is a rapidly scaling AI Enterprise SaaS platform powering data-to-decision transformations for mid-market and enterprise clients. As we expand our delivery footprint, we’re seeking a Senior Implementation Manager who can elevate Sutra’s implementation workflows into a repeatable, productized delivery engine . The Implementation Leader will own the operational excellence of all AI solution deployments - from data readiness and environment setup to model rollout and go-live assurance . This is a senior execution leadership role that ensures our technical delivery remains world-class, predictable, and scalable . You will lead a team of Implementation Managers and cross-functional contributors , partnering closely with Product, AI Engineering, and Value Enablement to turn every customer implementation into a success story and reusable product pattern . You will report to the Head of Delivery with a dotted line to the CAIO , and be an integral part of Sutra’s Product Leadership Council . Why This Role Matters The success of Sutra.AI’s product depends on the precision of its implementation . This is a remote, detail-heavy execution role focused on managing the technical workflows involved in building AI-powered applications for our customers. You will not be responsible for high-level strategy , executive relationship management , or value communication - your job is to run the technical implementation playbook with precision so that our AI apps are shipped successfully and on schedule . Must-Have Qualifications 5+ years of technical project management experience, ideally in AI, data, or software development projects. Proven ability to run delivery projects with remote teams and distributed stakeholders. Familiarity with cloud deployment, data pipelines, APIs, and AI/ML workflows (you don’t need to build, but you should understand dependencies). Experience working in agile or semi-agile environments . Strong communication skills - especially written updates, project tracking, and structured documentation. Highly organized with an ownership mindset - you keep things moving and follow through rigorously. Required Experience Specifics Customer-facing delivery experience: Direct customer interaction during implementations. Multi-project management: Ability to manage 4–5 concurrent implementations (customer PODs). Crisis management: Experience handling production issues or failed deployments. Key Responsibilities 1. Delivery Excellence and Workflow Ownership Lead Sutra’s standardized transformation playbook end-to-end - covering data integration, use case definition, AI model development, and deployment. Ensure structured, measurable implementation processes that deliver on-time, high-quality outcomes for every customer. Institutionalize best practices for delivery governance, QA, and release readiness . 2. Productization of Delivery Workflows Partner with the Product and Engineering teams to transform manual or human-in-the-loop (HITL) activities into productized features and automation tools . Continuously evolve the delivery playbook into a scalable digital framework that reduces time-to-live and increases repeatability. 3. Customer Implementation Leadership Serve as the operational bridge between customer goals and technical execution. Drive alignment between Solution Architects, Data Engineers, and Developers to ensure seamless handoffs and milestone tracking. Anticipate and resolve blockers before they impact timelines. 4. People and Process Leadership Build, coach, and manage a team of Implementation Managers capable of handling concurrent enterprise projects. Foster a delivery culture grounded in ownership, precision, and accountability. Implement performance metrics aligned with customer satisfaction, on-time delivery, and risk reduction. 5. Metrics, Reporting, and Governance Track and report delivery health across all accounts using structured dashboards. Define key performance indicators (on-time delivery rate, escalation count, time-to-resolution, customer satisfaction). Support executive leadership in quarterly business reviews and product strategy sessions . 6. Cross-Functional Collaboration Work closely with Product, Sales, and Customer Success to ensure alignment on customer commitments. Partner with AI Productization and Engineering teams to ensure seamless deployment pipelines. Participate in internal leadership meetings , providing data-driven insights on delivery operations. Competencies Execution Leadership: Drives teams toward excellence under pressure while maintaining clarity and calm. System Thinking: Builds scalable workflows that connect technical delivery with productized value. Operational Rigor: Obsessed with timelines, structure, and measurable success. Communication Mastery: Translates between technical and business stakeholders with precision and empathy. Problem Solving: Anticipates issues, diagnoses root causes quickly, and implements sustainable fixes. Ownership Mindset: Treats delivery outcomes as core to Sutra’s reputation and customer impact. Success Metrics ≥ 95% On-Time Delivery Rate < 10% Escalation Rate per Quarter 90% Customer Satisfaction (Implementation NPS) Time-to-Resolution: Avg. < 24 hours for blockers Reduction in HITL tasks through productization (Quarter-over-Quarter) Role Logistics Location: Remote / Bhopal / Noida Reporting Structure: Reports to: Head of Delivery Dotted Line: CAIO Collaborates With: Product Management AI Productization Delivery Excellence Team Customer Success & Sales Cadence & Collaboration Weekly Implementation Machine L10 Weekly Product-Delivery Sync Value Enablement Sessions Customer SteerCo and Go-Live Reviews Daily Standups and Sprint Reviews
Role: AI Engineer About Sutra.AI Sutra.AI is a rapidly growing AI Enterprise SaaS Platform company focused on building data-to-decision automation at scale . Our mission is to help enterprises transform raw data into intelligent, actionable insights through AI, automation, and decision intelligence. Role Summary We’re seeking an AI Engineer who is passionate about building real-world, production-ready AI systems using machine learning, generative AI, and agentic frameworks . The ideal candidate is hands-on, detail-oriented, and thrives in a fast-paced environment where ideas move quickly from prototype to production. You will collaborate closely with the AI Productization, Data, and Engineering teams to design, develop, and optimize intelligent systems that power Sutra’s next-generation AI capabilities. Why This Role Matters AI lies at the heart of Sutra.AI’s mission. The AI Engineer transforms complex business problems into deployable AI systems that deliver measurable value. Every model, LLM workflow, and intelligent agent you build directly enhances the Sutra.AI platform-driving automation, scalability, and decision intelligence for customers worldwide. This role ensures that innovation moves beyond experimentation to become production-grade capabilities that define the Sutra.AI experience. Must-Have Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related disciplines . 3–4 years of hands-on experience in AI/ML, LLMs, or Generative AI application development. Experience with RAG (Retrieval-Augmented Generation) and Agentic Frameworks . Prior experience fine-tuning models (OpenAI, LLaMA, Mistral, Falcon, etc.) preferred. Portfolio or GitHub showcasing AI or GenAI projects. Key Responsibilities 1. AI/ML Model Development Build and optimize supervised and unsupervised ML models using Python and Scikit-Learn . Perform feature engineering, data wrangling, and model evaluation for structured and unstructured datasets. Apply evaluation metrics (ROC-AUC, F1, RMSE, Precision, Recall) for benchmarking. Collaborate with Data and Engineering teams to ensure reproducibility and deployment readiness . 2. Generative AI & LLM Engineering Develop and integrate LLM-based applications using LangChain, Autogen, or LangGraph . Perform fine-tuning and instruction-tuning using Hugging Face Transformers, PEFT, LoRA, or OpenAI APIs . Optimize prompts, model parameters, and responses for factual accuracy and contextual relevance. Implement RAG pipelines using Pinecone, FAISS, Chroma, or Weaviate . Build evaluation pipelines to assess LLM output quality, coherence, and bias. 3. AI Agent Development Design and deploy autonomous AI agents capable of reasoning, planning, and multi-step tool use. Leverage frameworks such as LangGraph, Autogen, or CrewAI for multi-agent systems . Integrate agents with APIs, databases, and internal platforms to automate workflows. Enhance reliability, scalability, and maintainability of deployed AI systems. 4. Continuous Improvement & Documentation Maintain comprehensive documentation and model tracking for reproducibility. Collaborate with cross-functional teams for smooth integration into customer solutions. Participate in peer reviews and sprint retrospectives to ensure quality and delivery efficiency. Research and adopt emerging AI/ML and agentic advancements to strengthen Sutra’s AI stack. Core Technical Competencies Programming: Python (NumPy, Pandas, Scikit-Learn, FastAPI, Flask) Databases: SQL, MySQL, MongoDB LLM / GenAI Frameworks: LangChain, Autogen, LangGraph, Hugging Face Transformers Fine-Tuning Techniques: Instruction-Tuning, PEFT, LoRA, Adapter Training, RLHF Evaluation & Optimization: BLEU, ROUGE, BERTScore, factuality checks, toxicity filtering Vector Databases: Pinecone, FAISS, Chroma, Weaviate Bonus Tools: Streamlit, Gradio, OpenAI/Anthropic APIs, Prompt Optimization tools Soft Skills Deep curiosity and passion for emerging AI technologies. Clear, structured communication and documentation ability. Ability to translate technical outcomes for non-technical audiences. Strong ownership, accountability, and commitment to delivery timelines. Collaborative mindset and comfort in agile, cross-functional teams. Success Metrics Model Accuracy & Quality: Achieves or exceeds benchmark accuracy and consistency. LLM Fine-Tuning Impact: Demonstrated improvement in model performance post-tuning. Delivery Timeliness: On-time completion of key milestones and deliverables. Documentation Completeness: Clear, reproducible code and experiment logs. Role Logistics Location: Remote / Bhopal / Noida Reporting To: Leader – AI Engineering Cadence & Collaboration: Weekly team meetings; close collaboration with AI, Data, and Engineering teams.