4 Regulated Industries Jobs

CECO Environmental is a global leader in providing sustainable solutions for industrial air, water, and energy transition. Since 1966, we've been addressing the world's most pressing environmental challenges. Our mission is to protect people, the environment, and industrial equipment, making a tangible impact across industries like renewable energy, semiconductor manufacturing, power generation, and water treatment. As a purpose-driven company, we foster a culture of innovation, collaboration, and integrity, ensuring that every project we undertake creates lasting positive change. At CECO, you'll be part of a growing, dynamic team committed to a cleaner, safer, and more sustainable future. As part of the CECO Environmental family of brands, Compass Water Solutions plays a critical role in delivering specialized water solutions that protect both people and the environment. By joining our team, you'll contribute to our shared mission of protecting global industrial operations and shaping the future of environmental stewardship. Your Responsibilities Will Be: - Design, develop, and implement PLC programs for industrial automation systems (e.g., Siemens, Allen-Bradley, Schneider Electric). - Develop Logic Block Diagrams and Function design specification. - Document control system architecture, programming logic, and cybersecurity protocols. - Fill out & Submit cybersecurity-relevant documentation for PLC/DCS systems in the client's specified format. - Troubleshoot and maintain existing PLC systems and HMI/SCADA interfaces. - Collaborate with cross-functional teams to integrate control systems with mechanical and electrical components. - Conduct risk assessments and implement cybersecurity best practices in control systems. - Ensure compliance with industry standards such as IEC 62443. - Monitor and respond to cybersecurity threats in industrial control environments. - Support commissioning and testing of control systems at client sites. Required Qualifications: - Hands-on experience with PLC platforms (e.g., Siemens S7, Rockwell/Allen-Bradley, Mitsubishi). - Solid understanding of industrial network protocols (e.g., Modbus, Profibus, Ethernet/IP). - Awareness of cybersecurity principles and experience applying them in OT environments. - Familiarity with firewalls, VPNs, intrusion detection systems, and secure remote access in industrial settings. - Experience in cybersecurity basic level in the domain of PLC/DCS/ICSS networking. - Experience with SCADA systems and industrial IoT. - Knowledge of safety systems, SIL study & calculation and functional safety standards (e.g., SIL, ISO 13849). - Experience in regulated industries (e.g., industrial water projects & manufacturing). We Offer: At CECO, we are committed to a culture where every employee is valued and respected for their unique experiences and perspectives. We believe a diverse and inclusive work environment contributes to the rich exchange of ideas and diversity of thoughts, that inspires innovation and brings the best solutions to our customers. CECO Environmental is a leading environmentally focused, diversified industrial company whose solutions protect people, the environment, and industrial equipment across the globe, serving a broad landscape of industrial air, industrial water, and energy transition markets.,

ABOUT XENONSTACK XenonStack is the fastest-growing data and AI foundry for agentic systems, enabling people and organizations to gain real-time and intelligent business insights. Agentic Systems for AI Agents: akira.ai Vision AI Platform: xenonstack.ai Inference AI Infrastructure for Agentic Systems: nexastack.ai THE OPPORTUNITY We are seeking an Agentic Infrastructure Observability Engineer to design, implement, and maintain visibility, monitoring, and assurance systems for large-scale AI agent deployments. This role focuses on observability, telemetry, and evaluation pipelines across multi-agent and multi-context workflows, ensuring AI systems are measurable, trustworthy, and compliant in enterprise and regulated environments. If you're passionate about SRE principles for AI, LLM evaluation, and agentic system transparency, this role offers the chance to shape observability for the next generation of intelligent automation. RESPONSIBILITIES Design and Implement Telemetry Pipelines Build observability infrastructure to capture logs, metrics, traces, and behavioral data from AI agents, orchestration layers, and integrated tools. Develop Evaluation Dashboards & KPIs Track accuracy, latency, reliability, cost, token usage, and success rates for agentic workflows. Enable Full-Stack Tracing Build execution flow tracing for multi-agent, multi-tool pipelines, with attribution for each decision, prompt, and retrieval step. Monitor Behavioral Reliability Detect and flag hallucinations, decision drift, prompt degradation, or tool misuse in real time. Integrate with Evaluation Frameworks Work with LLM eval tools like TruLens, Ragas, Arize AI, and custom scoring systems for continuous quality monitoring. Ensure Compliance & Auditability Implement observability features for regulatory audits (e.g., PCI-DSS, GDPR), including secure logging of prompts, retrieved context, and decisions. Cost & Resource Observability Track model/API usage, compute cost, and token consumption to enable optimization decisions. Collaborate Across Teams Partner with AgentOps Engineers, AI Interaction Engineers, and Model Reliability teams to turn observability insights into operational improvements. SKILLS & QUALIFICATIONS Must-Have: 35 years in SRE, DevOps, AI infrastructure, or ML systems engineering. Proficiency in Python and observability stacks (Prometheus, OpenTelemetry, Grafana, ELK, etc.). Familiarity with LLM architectures, multi-agent orchestration frameworks (LangGraph, LangChain, AgentBridge), and context pipelines. Experience with logging, tracing, and performance profiling for distributed systems. Understanding of LLM evaluation metrics (factuality, coherence, toxicity, cost efficiency). Knowledge of privacy and compliance standards for AI systems. Good-to-Have: Hands-on experience with LLM eval tools (TruLens, Ragas, Arize AI, Weights & Biases). Familiarity with RAG, vector databases, and knowledge graph-based retrieval. Experience in regulated industries (BFSI, healthcare, GRC). Background in anomaly detection or behavioral monitoring for ML systems. CAREER GROWTH & BENEFITS Continuous Learning & Growth Training and certifications in AI observability, LLM evaluation, and Responsible AI. Hands-on exposure to enterprise-scale agentic infrastructure. Recognition & Rewards Incentives for innovations in AI observability and monitoring. Fast-track opportunities into AI Reliability Architecture or Model Ops Leadership roles. Work Benefits & Well-Being Comprehensive medical insurance and project-based allowances. Cab facilities for women employees and special project perks. XENONSTACK CULTURE JOIN US & MAKE AN IMPACT! We foster a culture of cultivation with bold, human-centric leadership principles. We value deep work, experimentation, and ownership in every initiative, and we are on a mission to reshape how enterprises adopt AI + Human Intelligence systems. Product Values: Obsessed with Adoption Making AI accessible and enterprise-ready. Obsessed with Simplicity Turning complexity into seamless, intuitive AI experiences. Be a part of our vision to accelerate the world's transition to AI + Human Intelligence.,

You need candidates with previous leadership or management experience. The ideal candidate should have at least 5+ years of experience in Software Asset Management with a strong exposure to Hardware Asset Management practices. It is essential to be a ServiceNow Certified Implementation Specialist SAM and have hands-on expertise with ServiceNow SAM Pro, including configuration, reporting, and lifecycle automation. Deep knowledge of Microsoft licensing and other major software publishers is required. Demonstrated experience in managing end-of-life software lifecycle and orchestrating removal/updates is a plus. Working knowledge of SCCM and Intune, especially for coordinating software installations and removals is important. Strong analytical, organizational, and communication skills are necessary. Experience supporting software contract renewals with Procurement and business stakeholders is a must. Ability to interpret licensing agreements and identify cost-saving opportunities is crucial. Familiarity with ITIL and ITAM best practices is beneficial. We are seeking a skilled and detail-oriented Manager of Software Asset Management (SAM) to join our IT team. The role involves leading the end-to-end management of software assets across the organization. Responsibilities include maintaining license compliance, optimizing usage, and supporting the overall IT Asset Management (ITAM) strategy. The ideal candidate must have hands-on experience with ServiceNow SAM Professional, a solid understanding of software publisher licensing models (especially Microsoft), and a collaborative approach to working across IT, procurement, and business units. Key Responsibilities: - Lead the full Software Asset Management lifecycle, including acquisition, inventory, compliance, optimization, and retirement. - Administer and continuously enhance ServiceNow SAM Professional, ensuring accurate discovery, normalization, reconciliation, and reporting. - Partner with the SCCM and Intune teams to orchestrate automated software deployments and removals across end-user devices. - Develop and maintain policies, procedures, and documentation related to Software Asset Management (SAM). - Collaborate with business owners and Procurement to support contract renewals, ensuring entitlements align with usage and organizational needs. - Manage and document end-of-life (EOL) software, ensuring timely decommissioning and risk mitigation. - Onboard Software publishers in SAM Pro and create Effective License Positions (ELPS) for major vendors (e.g., Microsoft, Adobe, SAP, VMware, etc.). - Monitor software consumption and provide optimization recommendations to reduce cost and mitigate compliance risk. - Support internal and external audits, including license true-ups and vendor audit responses. - Provide SAM reporting and dashboards to IT leadership and key stakeholders. - Work closely with Hardware Asset Management (HAM) and CMDB teams to align asset records and drive data integrity. - Stay informed of market trends, licensing changes, and emerging SAM technologies.,

Urgently Hiring for AI Governance Specialist This Contractual position Location Bangalore ( Hybrid mode) 1st round Virtual 2nd Round - Face to Face Experience - 9-12Yrs Key Responsibilities: AI Policy & Framework Development: Implement organizational AI governance policies and risk management frameworks. Align internal governance practices with global standards and regulations (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001). Collaborate with legal, compliance, data science, and product teams to ensure AI systems meet ethical and regulatory requirements. Risk Assessment & Compliance: Conduct AI risk and impact assessments across the model lifecycle. Monitor compliance with emerging AI regulations, data privacy laws (e.g., GDPR), and sector-specific requirements. Identify and escalate potential ethical, legal, or reputational risks. Ethical AI & Responsible Innovation: Promote fairness, transparency, accountability, explainability, and human oversight in AI/ML systems. Support initiatives for bias detection, algorithmic accountability, and model interpretability. Governance Operations & Tooling: Work with cross-functional teams to embed governance controls into MLOps and AI development pipelines. Evaluate or develop tools to support model documentation (e.g., model cards, datasheets), audit trails, and explainability. Stakeholder Engagement & Training: Act as a subject-matter expert on AI governance for internal and external stakeholders. Design and deliver training programs on responsible AI practices for technical and business teams. Experience: 9-12 years of experience in AI/ML, risk management, regulatory compliance, or corporate governance. Experience with responsible AI frameworks, audit processes, or regulatory readiness preferred. Skills: Deep understanding of AI/ML technologies and their societal and organizational impacts. Experience working in regulated industries (e.g., finance, healthcare, energy). Knowledge of cybersecurity, data governance, or digital ethics. Strong analytical, communication, and stakeholder management skills. Ability to navigate ambiguity and influence cross-functional teams in a fast-paced environment