Job Title: GenAI Product Owner Location: Hyderabad Company: Innomax Skills Pvt Ltd About the Role Innomax Skills is establishing India’s strongest AI & GCC capability-building ecosystem. We are hiring a GenAI Product Owner to spearhead strategy, development, and adoption of GenAI solutions across enterprise and GCC environments. This role blends product leadership , AI/LLM capability depth , and GCC operational understanding —ideal for someone who can convert business problems into scalable GenAI products and frameworks. Key Responsibilities 1. Product Ownership & Strategy Own the roadmap, vision, and delivery of GenAI products, accelerators, and toolkits. Translate enterprise/GCC requirements into AI-powered workflows, features, and capability modules . Work with engineering, design, and data teams to build production-grade GenAI applications. Prioritize features based on business value, feasibility, and risk. Ensure products meet data privacy, security, and AI governance requirements. 2. GCC-Focused Responsibilities Partner with GCC clients to build GenAI CoEs, automation pods, and AI enablement programs . Assess GCC maturity and create AI capability roadmaps (Build → Stabilize → Scale). Develop standardized GCC playbooks such as: GenAI Productivity Framework GCC AI Ops Blueprint GenAI Adoption Policy & Safe Use Guidelines Prompt Governance & Model Evaluation Guidelines Enable GCC teams to deploy GenAI across use cases like: Software engineering workflows Knowledge ops Finance & shared services Customer support automation HR & talent operations 3. Cross-functional Leadership Work with LLM engineers, prompt engineers, data scientists, and MLOps teams. Lead product demos, PoCs, prototype iterations, and client workshops. Collaborate with AI Governance teams to align features with enterprise compliance. 4. Training & Capability Building (Innomax Skills) Contribute to curriculum design on GenAI product development, adoption, and enterprise implementation . Conduct masterclasses and case-study sessions for students, enterprises, and GCC audiences. Build internal GenAI playbooks for training delivery teams. 5. Tools & Platform Experience Experience with: OpenAI, Azure OpenAI, Anthropic, Google Vertex AI, HuggingFace RAG frameworks ( LangChain, LlamaIndex ) LLMOps & model monitoring basics Product tools (Jira, Figma, Confluence) Data products & integration workflows Requirements 5–12 years experience in product management, enterprise AI, or digital transformation roles. Strong understanding of LLMs, GenAI architectures, RAG systems, embeddings, and agent workflows. Proven experience building or managing AI/ML, automation, or enterprise software products . Experience working with or supporting GCCs (preferred). Familiarity with AI governance, DPDP Act, ISO 42001, and safe deployment frameworks. Excellent communication and stakeholder engagement skills. What We Offer Opportunity to lead GCC-focused GenAI product strategy for India and global clients. Work with governments, GCC councils, enterprises, and international partners. Fast-track growth: GenAI Product Lead → Head of GenAI Products . Competitive salary + performance incentives. How to Apply Email: hr@innomaxsol.com WhatsApp: +91 92811 11718
Job Title: AI Policy Specialist – Governance, Compliance & GCC Enablement Location: Hyderabad Company: Innomax Skills Pvt Ltd About the Role Innomax Skills is building India’s strongest AI Governance & GCC Capability ecosystem. We are hiring an AI Policy Specialist to design, interpret, and operationalize AI-related regulations, ethical standards, and governance guidelines for enterprises, government programs, and GCCs. This role blends policy expertise , AI governance knowledge , and GCC operational understanding —ideal for someone who can translate complex AI laws into practical, enterprise-ready frameworks. Key Responsibilities 1. AI Policy Design & Interpretation Research and interpret global & Indian AI regulations including: DPDP Act, EU AI Act, GDPR, NIST AI RMF, OECD AI Principles, ISO 42001, RBI/IRDA guidelines. Draft internal AI policies, governance guidelines, acceptable use policies (AUP), and compliance documents. Build policy frameworks for AI lifecycle governance, risk mitigation, and safe deployment. Analyze AI impact assessments, privacy risks, bias concerns, and ethical considerations. 2. GCC-Focused Responsibilities Support GCCs in creating Responsible AI frameworks , governance checklists, and compliance protocols. Align AI policy documents with GCC maturity models and operational structures. Create standardized policy packs for GCC clients: AI Legal Compliance Pack GCC Risk & Policy Matrix AI Use Case Approval Framework AI Incident Escalation & Audit Process Ensure GCC AI initiatives meet requirements across: Data governance Risk management HR & talent operations Shared services AI Ops & automation teams 3. Internal Enablement (Innomax Skills) Collaborate with curriculum teams to develop modules on: AI policy, governance, compliance, ethics, and safe AI adoption. Conduct training for students, enterprise teams, and GCC cohorts. Create policy-based case studies, templates, and documentation toolkits. 4. Cross-functional Collaboration Work with AI engineers, governance architects, prompt engineers, and product teams. Review AI product features, data practices, and integration plans for compliance gaps. Assist in enterprise & GCC audits, certifications, and readiness assessments. 5. Tools & Knowledge Areas Familiarity with AI governance platforms , LLMOps basics, and model monitoring principles. Strong understanding of: Privacy laws Data residency & cross-border data transfer policies Ethical AI practices AI risk registers, model cards, impact assessment formats Requirements 3–10 years experience in policy, compliance, AI governance, data protection, or tech law. Strong understanding of AI/LLM systems and their ethical, legal, and societal implications. Experience working with or supporting GCCs, IT services, consulting, or regulated industries . Certifications preferred: ISO 42001, Data Privacy (DCPP/DPO), Responsible AI, AI Governance . Excellent writing, documentation, research, and stakeholder management skills. What We Offer Lead policy initiatives for enterprises, GCCs, and government programs. Opportunity to shape India’s AI Governance & Compliance landscape. Rapid growth path into AI Policy Lead / Governance Head . Competitive salary & performance incentives. How to Apply Email: hr@innomaxsol.com WhatsApp: +91 92811 11718
Job Title: AI Governance Architect Location: Hyderabad Company: Innomax Skills Pvt Ltd About the Role Innomax Skills is building India’s next-gen AI Governance & Responsible AI practice with a strong alignment to the fast-growing GCC (Global Capability Center) ecosystem. We are hiring an AI Governance Architect who can design governance frameworks, policies, and compliant AI workflows for enterprises, GCCs, and partner institutions. The role blends AI governance , risk engineering , and GCC operating model expertise —with a mandate to help organizations build safe, compliant, and scalable AI capabilities. Key Responsibilities AI Governance & Compliance Build AI governance frameworks aligned with global standards (DPDP Act, GDPR, NIST, OECD, ISO 42001, RBI/IRDA guidelines). Conduct risk assessments, privacy impact assessments, bias detection, adversarial testing , and governance reviews. Establish governance controls for model building, deployment, drift monitoring, explainability , and human-in-the-loop oversight. Create model documentation standards: Model Cards, AI Risk Register, Governance Checklists, Ethical Usage Guides . GCC-Focused Responsibilities Help GCCs set up AI CoEs , governance pods, and responsible AI programs. Develop AI governance playbooks specifically tailored for the GCC operating model. Support GCC transition stages: Build → Stabilize → Scale with AI safety & governance guardrails. Enable GCCs to achieve AI maturity scorecards , compliance audits, and operational excellence targets. Drive capability-building for GCC teams in AI ethics, safety, governance, and regulatory readiness . Training & Enablement (Innomax Skills) Build training curricula in Responsible AI, AI Governance, AI Safety, and AI Risk & Compliance . Deliver masterclasses, workshops, and case studies for learners, enterprises, and GCC leaders. Guide teams on industry certifications , governance toolchains, and safe deployment best practices. Tools & Frameworks Evaluate and integrate AI governance tools: MLflow, Kubeflow, Azure ML, Vertex AI Governance, Guardrails AI, Model Monitoring Platforms, Policy Engines. Assist in building internal governance dashboards, lineage tracking, and observability pipelines. Requirements 5–12 years in AI/ML, Data Governance, Cloud, or AI Risk roles. Strong technical understanding of: AI model lifecycle LLMs, RAG systems Data pipelines & MLOps Model drift, bias, safety Understanding of GCC dynamics, including: Transition & maturity models CoE setup Talent & capability building Governance & audit requirements Knowledge of global AI laws, standards, governance frameworks. Preferred certifications: ISO 42001, RAI/Responsible AI, Data Privacy, AI Governance, CIS-AI, Azure/AWS AI Specialty . Strong stakeholder management & communication skills. What We Offer Opportunity to lead AI Governance & Safety initiatives for enterprises and GCCs. Work with state governments, GCC councils, and global partners. Shape India's emerging AI governance talent pipeline through Innomax Skills. Competitive compensation & rapid growth path into AI Governance Lead / GCC Governance Head . How to Apply Email: hr@innomaxsol.com WhatsApp: +91 92811 11718
Job Title: AI Risk Strategist – Governance, Compliance & GCC AI Risk Location: Hyderabad Company: Innomax Skills Pvt Ltd About the Role Innomax Skills is building India’s leading AI Governance & GCC Capability ecosystem. We are hiring an AI Risk Strategist to design and operationalize risk frameworks for AI/LLM deployments across enterprises, government programs, and Global Capability Centers (GCCs). This role blends AI technical understanding , risk management depth , and GCC operational knowledge —ideal for someone who can foresee risks, build guardrails, and help enterprises scale AI safely. Key Responsibilities 1. AI Risk Strategy & Framework Design Develop enterprise-wide AI Risk Management Frameworks (AIRMF) aligned with: NIST AI RMF, ISO 42001, DPDP Act, EU AI Act, OECD Principles. Identify, categorize, and assess AI risks across: Model hallucination Bias & fairness Privacy leakage Security vulnerabilities Model drift Adversarial prompts Compliance gaps Build AI Risk Heatmaps, Impact Scores, and Risk Registers . Conduct AI Impact Assessments (AIAs) and generate risk mitigation plans. 2. GCC-Focused Responsibilities Enable GCCs to implement AI Risk & Governance frameworks across shared services, engineering, and CoE setups . Create GCC-specific risk templates: GCC AI Risk Maturity Matrix Cross-functional Risk Controls (Tech, HR, Finance, Ops) AI Use Case Approval & Risk Scoring Framework GCC AI Incident Response Protocol Guide GCC teams in managing high-risk use cases related to: Automation in BFSI, healthcare, and supply chain LLM use in customer ops Code generation & developer copilots GenAI in knowledge management Align risk processes with GCC transition phases (Build → Stabilize → Scale). 3. Technical Risk Reviews Review model architecture, LLM integrations, RAG pipelines, and guardrail systems. Work with engineering teams to implement: Input/output filtering Prompt safety layers Identity & access controls Model monitoring & drift detection Data governance & privacy protections Evaluate AI tools and vendors for risk, compliance, and alignment with enterprise policy . 4. Enablement & Training (Innomax Skills) Build curriculum and workshops on: AI Risk, Responsible AI, Safe Deployment, Adversarial Testing, AI Compliance. Train students, enterprise teams, and GCC leaders with real-world case studies. Create internal risk playbooks for Innomax Skills’ AI governance offerings. 5. Documentation & Audit Prepare AI risk documentation for internal and client audits. Create templates: Model Cards Risk Logs AIA Reports Governance Checklists Risk Control Dashboards Support AI governance audits and ISO certifications. Requirements 4–12 years experience in AI/ML, cybersecurity, risk management, or governance. Strong understanding of LLMs, model lifecycles, data pipelines, and AI vulnerabilities. Knowledge of global AI governance frameworks and compliance requirements. Experience with GCC environments or IT consulting preferred. Certifications in ISO 42001, Responsible AI, Data Privacy, Risk Management are an advantage. Excellent analytical, documentation, and communication skills. What We Offer Lead AI risk programs for enterprises, GCCs, and government initiatives. Build India’s strongest AI risk & governance capability ecosystem. Fast-track growth to AI Risk Lead / Governance Head . Competitive salary + performance incentives. How to Apply Email: hr@innomaxsol.com WhatsApp: +91 92811 11718
Job Title: AI Governance Architect – GCC Focus Location: Hyderabad Company: Innomax Skills Pvt Ltd About the Role Innomax Skills is building India’s next-gen AI Governance & Responsible AI practice with a strong alignment to the fast-growing GCC (Global Capability Center) ecosystem. We are hiring an AI Governance Architect who can design governance frameworks, policies, and compliant AI workflows for enterprises, GCCs, and partner institutions. The role blends AI governance , risk engineering , and GCC operating model expertise —with a mandate to help organizations build safe, compliant, and scalable AI capabilities. Key Responsibilities AI Governance & Compliance Build AI governance frameworks aligned with global standards (DPDP Act, GDPR, NIST, OECD, ISO 42001, RBI/IRDA guidelines). Conduct risk assessments, privacy impact assessments, bias detection, adversarial testing , and governance reviews. Establish governance controls for model building, deployment, drift monitoring, explainability , and human-in-the-loop oversight. Create model documentation standards: Model Cards, AI Risk Register, Governance Checklists, Ethical Usage Guides . GCC-Focused Responsibilities Help GCCs set up AI CoEs , governance pods, and responsible AI programs. Develop AI governance playbooks specifically tailored for the GCC operating model. Support GCC transition stages: Build → Stabilize → Scale with AI safety & governance guardrails. Enable GCCs to achieve AI maturity scorecards , compliance audits, and operational excellence targets. Drive capability-building for GCC teams in AI ethics, safety, governance, and regulatory readiness . Training & Enablement (Innomax Skills) Build training curricula in Responsible AI, AI Governance, AI Safety, and AI Risk & Compliance . Deliver masterclasses, workshops, and case studies for learners, enterprises, and GCC leaders. Guide teams on industry certifications , governance toolchains, and safe deployment best practices. Tools & Frameworks Evaluate and integrate AI governance tools: MLflow, Kubeflow, Azure ML, Vertex AI Governance, Guardrails AI, Model Monitoring Platforms, Policy Engines. Assist in building internal governance dashboards, lineage tracking, and observability pipelines. Requirements 5–12 years in AI/ML, Data Governance, Cloud, or AI Risk roles. Strong technical understanding of: AI model lifecycle LLMs, RAG systems Data pipelines & MLOps Model drift, bias, safety Understanding of GCC dynamics, including: Transition & maturity models CoE setup Talent & capability building Governance & audit requirements Knowledge of global AI laws, standards, governance frameworks. Preferred certifications: ISO 42001, RAI/Responsible AI, Data Privacy, AI Governance, CIS-AI, Azure/AWS AI Specialty . Strong stakeholder management & communication skills. What We Offer Opportunity to lead AI Governance & Safety initiatives for enterprises and GCCs. Work with state governments, GCC councils, and global partners. Shape India's emerging AI governance talent pipeline through Innomax Skills. Competitive compensation & rapid growth path into AI Governance Lead / GCC Governance Head . How to Apply Email: hr@innomaxsol.com WhatsApp: +91 92811 11718