ai/ml architect

Infinity Quest

<p>Position : Enterprise Architect</p><p>Client Name : Wipro and AA Airline [ Full time Wipro ]</p><p>Work Type : Re,ote</p><p><b>Role : Enterprise Architect</b></p><p>Location : Location Constraint (If any)/ Remote -Richfield, MN (preferred), else anywhere near Wipro office</p><p>Salary : $120-135k</p><p><b>Job Description:</b></p><p>Core Competencies</p><ul><li>AWS Machine Learning: Expertise in SageMaker, Bedrock, Vertex AI; capable of designing and deploying ML pipelines in production.</li><li>Enterprise Architecture Advisory (L3): Proven experience in architecting AI/ML solutions aligned with enterprise strategy.</li><li>Agentic AI Systems: Familiarity with LangGraph, Autogen Studio, LLM orchestration, autonomous agents, planning, memory, and tool execution.</li><li>AIOps Observability (L3): Deep knowledge of cloud-native observability tools (Grafana, Dynatrace, ELK).</li><li>Program Management (L3): Strong delivery leadership in AI/ML programs.</li></ul><p>Qualifications</p><ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Science, or related field.</li><li>AWS Certified Machine Learning &ndash; Specialty or Solutions Architect &ndash; Professional preferred.</li><li>Minimum 5 years in enterprise architecture and AI/ML solutioning.</li></ul><p>Responsibilities</p><ul><li>Architect scalable Agentic AI systems for observability use cases.</li><li>Lead AWS ML integration and ensure performance, scalability, and governance.</li><li>Align technical solutions with enterprise goals and compliance frameworks.</li><li>Collaborate with cross-functional teams to deliver integrated AI solutions.</li><li>Establish responsible AI governance and data privacy frameworks.</li><li>Mentor teams on AI/ML architecture and observability best practices.</li></ul><p>Job Type: Full-time</p><p>Pay: $120.00 - $135.00 per year</p><p>Experience:</p><ul><li>AWS: 10 years (Preferred)</li><li>SAGE MAKER: 10 years (Preferred)</li><li>BEDROCK: 10 years (Preferred)</li><li>VERTEX AI : 10 years (Preferred)</li><li>Agentic  AI: 10 years (Preferred)</li><li>LANG GRAPH: 10 years (Preferred)</li><li>AUTO GEN STUDIO : 10 years (Preferred)</li><li>LLM: 10 years (Preferred)</li><li>GRAFANA: 10 years (Preferred)</li><li>DYNATRACE: 10 years (Preferred)</li><li>ELK: 10 years (Preferred)</li><li>AI/ML: 10 years (Preferred)</li><li>Solution architecture: 10 years (Preferred)</li><li>LEAD AWS ML INTEGRATION: 10 years (Preferred)</li></ul><p>Work Location: Remote</p>

Enterprise Architect

DS Group

<div><p><b>Designation:</b> SENIOR MANAGER<br>
<b>Location:</b> India UTTAR PRADESH Noida
<br>
<b>Group:</b> DS Group<br>
<b>Entity:</b> Dharampal Satyapal Limited<br>
<b>SBU:</b> CORPORATE<br>
<b>Department:</b> INFORMATION TECHNOLOGY<br>
<b>Function:</b> DATA ANALYTICS<br>
</p><h2 class="jobSectionHeader"><b>Job Description:</b></h2>
<h1 class="jobSectionHeader"><b>Job Description &ndash; AI Architect (6&ndash;10 years)</b></h1><h2 class="jobSectionHeader"><b>
Role Summary</b></h2><div>
We are looking for a seasoned AI Architect with <b>6&ndash;10 years of experience</b> to define, develop and implementation of <b>AI/ML solutions</b> at enterprise scale. This role requires deep expertise in AI/ML technologies, architecture design, and MLOps, combined with strong skills to develop and deploy and align AI initiatives with business goals.</div><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Worked on the AI/ML architecture roadmap aligned with organizational strategy, ensuring scalability, reliability, and security.</li><li>
Architect and develop AI solutions: data pipelines, model development, deployment, monitoring, and governance.</li><li>
Develop and Lead the implementation of MLOps frameworks for CI/CD, model registry, reproducibility, drift detection, and lifecycle management.</li><li>
Evaluate and select suitable AI/ML frameworks, tools, and cloud platforms; ensure optimal use of technologies.</li><li>
Partner with data engineering, product, and business teams to identify opportunities for AI adoption and design scalable solutions.</li><li>
Provide technical leadership and mentorship to ML engineers, data scientists, and developers.</li><li>
Ensure compliance with data security, ethical AI, and regulatory standards in AI system design.</li><li>
Drive innovation by staying updated on emerging AI research, trends, and best practices.</li></ul><h2 class="jobSectionHeader"><b>
Required Skills &amp; Qualifications</b></h2><ul><li><b>
6&ndash;10 years of relevant experience in AI/ML engineering, data science, or AI solution architecture.</b></li><li>
Strong proficiency in Python (preferred) and familiarity with enterprise-grade programming practices.</li><li>
Deep expertise in ML/DL frameworks: TensorFlow, PyTorch, scikit-learn.</li><li>
Proven experience in architecting and deploying AI solutions on cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML).</li><li>
Solid understanding of data engineering, distributed systems, and API/microservices-based architectures.</li><li>
Knowledge of big data tools (Spark, Kafka, Hadoop) and data pipeline orchestration.</li><li>
Strong grounding in statistics, probability, linear algebra, optimization, and algorithm design.</li><li>
Experience designing systems with observability, fault tolerance, scalability, and cost-efficiency.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering or related field.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li>
Experience with enterprise AI governance frameworks, including model explainability and responsible AI.</li><li>
Hands-on expertise with containerization (Docker, Kubernetes) and distributed model training.</li><li>
Contributions to open-source AI projects, patents, or publications in applied AI/ML.</li><li>
Familiarity with GenAI (LLMs, transformers, prompt engineering) and applied use cases in enterprises.</li></ul><h2 class="jobSectionHeader"><b>
Soft Skills &amp; Qualities</b></h2><ul><li>
Strategic thinker with the ability to connect business goals with AI capabilities.</li><li>
Strong development and mentoring skills; able to guide cross-functional teams.</li><li>
Excellent communication and storytelling skills to engage both technical and non-technical stakeholders.</li><li>
Growth mindset and passion for driving innovation in AI.</li><li>
Ethical and responsible in the application of AI technologies.</li></ul>
<p><b>Skills:</b></p><div><p>
Big Data tools and techniques</p><p>
Artificial Neural Networks</p><p>
Python</p><p>
Cloud</p><p>
Machine Learning</p><p>
SQL</p><p>
ML frameworks</p><p>
Pytorch</p><p>
pyspark</p><p>
AWS</p><p>
Python Programming Expertise</p><p>
Artificial Intelligence</p></div></div><p></p>

AI Architect (Senior Manager/ Manager)

Accenture

<p><b>Project Role : </b>Application Architect<br>
<b>Project Role Description : </b>Provide functional and/or technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests.
<br>
<b>Must have skills : </b>Google Cloud Platform Architecture<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>5</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Role Summary The GCP Architect for AI/ML and Agentic Solutions will lead the design, implementation, and optimization of scalable AI/ML platforms and multi-agent architectures on Google Cloud Platform (GCP). This role bridges AI innovation and cloud engineering, ensuring robust infrastructure, secure data flow, and intelligent orchestration to enable next-generation autonomous and agentic AI systems. The architect will collaborate with data scientists, MLOps engineers, and solution architects to create a cohesive platform that supports model development, deployment, monitoring, and agentic collaboration leveraging GCP-native and open-source components. Key Responsibilities Architect and design scalable AI/ML platforms leveraging GCP services such as Vertex AI, Dataflow, BigQuery, Pub/Sub, Cloud Storage, Cloud Run, and GKE. Define and implement multi-agent system architectures using frameworks such as Agent Developer Kit (ADK), LangChain, or Vertex AI Agents. Design end-to-end pipelines for data ingestion, preprocessing, training, inference, and feedback loops. Implement MLOps frameworks for model versioning, deployment, retraining, and observability. Define reference architectures and reusable templates for AI/ML and agentic workloads. Ensure data security, governance, and compliance across model development and agent interactions. Integrate LLMs, knowledge bases, and reasoning components for adaptive and autonomous decision systems. Collaborate with development and DevOps teams to operationalize AI models using CI/CD and IaC best practices. Provide technical leadership, architecture governance, and design reviews for AI and platform initiatives. Stay updated with emerging GCP AI/ML services, agentic frameworks, and industry innovations to drive continuous improvement. Technical Skills Strong expertise in Google Cloud services: Vertex AI, BigQuery, Pub/Sub, Dataflow, Dataproc, Cloud Functions, Cloud Run, GKE, and IAM. Experience designing and implementing AI/ML pipelines (training, inference, retraining) using Vertex AI Pipelines and MLOps frameworks. Understanding of agent-based architectures, including autonomous orchestration, reasoning frameworks, and contextual memory systems. Proficiency in Python, TensorFlow, PyTorch, and MLflow, and experience integrating models into production systems. Knowledge of data engineering patterns and ETL orchestration with Dataflow or Apache Beam. Familiarity with IaC tools (Terraform, Deployment Manager) and DevOps/MLOps automation. Experience with API design and integration using Apigee or Cloud Endpoints for serving AI APIs and agent interactions. Strong grasp of networking, IAM, VPC design, and data protection best practices on GCP. Professional and Behavioral Skills Excellent communication and presentation skills, able to translate complex AI architectures into business context. Strong collaboration and stakeholder engagement across engineering, AI research, and product management teams. Strategic thinking with the ability to balance innovation, feasibility, and scalability. Exceptional problem-solving, analytical, and conceptual design abilities. Proven experience mentoring engineers and guiding teams in AI/ML adoption and architecture best practices. Strong documentation and governance mindset &mdash; producing architecture blueprints, design patterns, and decision records. Preferred Qualifications Google Cloud Professional Cloud Architect and/or Professional Machine Learning Engineer certification. Experience with multi-agent orchestration frameworks (e.g., ADK, CrewAI, AutoGen, or LangGraph). Exposure to Knowledge Graphs, vector databases, and retrieval-augmented generation (RAG) architectures. Understanding of AI governance, model explainability, and compliance frameworks. Familiarity with Anthos, hybrid/multi-cloud AI deployment, and federated learning setups. Prior experience designing AI Platforms-as-a-Service or reusable Agentic AI frameworks. Education &amp; Experience Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field. 8&ndash;12 years of total experience, with at least 4+ years in GCP architecture and 2+ years in AI/ML solutioning.</p>
<br>
15 years full time education

Application Architect

HCLTech

<div><div><div><h1 class="jobSectionHeader"><b>GROUP TECHNICAL MANAGER</b></h1>
</div><div><div>Noida
</div></div><div><div>&gt;11 Years
</div></div><div><div>INDIA
</div></div><div><p><b>Job Description (Posting).
</b></p><div>A highly skilled and experienced AI/ML Architect to lead the design, development, and deployment of innovative AI/ML solutions. You will be responsible for translating business requirements into scalable, robust, and production-ready AI/ML architectures, primarily leveraging the Google Cloud Platform (GCP). You will be a technical leader, mentoring other engineers and driving best practices in ML Ops.Total Years of Experience: 8-15 YearsRelevant Experience: 7+ Years in AI/ML Architecture and DevelopmentKey Responsibilities: Solution Architecture: Design and architect end-to-end AI/ML solutions tailored to specific business needs, ensuring scalability, performance, and security. Technical Leadership: Provide technical leadership and guidance to a team of AI/ML Engineers, Data Scientists, and Software Engineers. GCP Expertise: Leverage deep knowledge of Google Cloud Platform (GCP) services, including BigQuery, Cloud Composer, Vertex AI, and other AI/ML services, to build and deploy AI/ML models. Model Development &amp; Deployment: Lead the development, deployment, and monitoring of machine learning models, ensuring their reliability and accuracy in production. ML Ops Implementation: Champion and implement ML Ops best practices, including CI/CD pipelines, automated model retraining, and robust monitoring systems. Technology Evaluation: Research and evaluate new AI/ML technologies and frameworks, recommending solutions that align with business goals and technical requirements. Collaboration: Collaborate with cross-functional teams, including product managers, data engineers, and business stakeholders, to define AI/ML strategies and deliver impactful solutions. Performance Optimization: Optimize AI/ML models and infrastructure for performance, cost, and scalability. Data Governance: Adhere to data governance and security policies, ensuring the responsible and ethical use of AI/ML technologies. Documentation: Create and maintain comprehensive documentation for AI/ML architectures, models, and deployment processes. Mentorship: Mentor junior engineers and data scientists, fostering a culture of learning and innovation.Required Skills and Experience: Machine Learning Expertise: Strong understanding of machine learning concepts, including supervised, unsupervised, and reinforcement learning. Programming Proficiency: Expertise in Python and experience with related libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy. Deep Learning: Proven experience in developing and deploying deep learning models using frameworks like TensorFlow or PyTorch. Cloud Platform Experience: Extensive experience with Google Cloud Platform (GCP), including BigQuery, Cloud Composer, Vertex AI, and other AI/ML services. Data Engineering: Solid understanding of data engineering principles and experience with data pipelines and ETL processes. Statistical Analysis: Strong foundation in statistical analysis and data visualization techniques. Model Deployment &amp; Monitoring: Hands-on experience with model deployment and monitoring in a production environment. ML Ops: Deep understanding and practical experience with ML Ops principles and tools, including CI/CD pipelines, model versioning, and automated retraining. Containerization &amp; Orchestration: Experience with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes). Communication Skills: Excellent communication, presentation, and interpersonal skills. Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to work independently and as part of a team. Experience in multiple Business Verticals: Experience in Banking/ Finance/ telecom/Retail/ technology etc is a plus. Text Analytics and Text Mini</div>
</div><div><p><b>Qualification</b></p>
<div>Bachelor of Technology/ Engineering
</div></div><div><p><b>No. of Positions</b></p>
<div>2</div>
</div><div><p><b>Skill (Primary)</b></p>
<div>Technical Skills-Cloud Platform-Google Cloud Platform
</div></div><div><p><b>Auto req ID</b></p>
<div>1618031BR</div></div></div></div><div></div>

GROUP TECHNICAL MANAGER

Zensar Technologies

<div><p><b>Skills
</b></p><ul><li>13 - 16 years of experience in software development
</li><li>5+ years of experience in AI/ML roles, with at least 3 years in an architectural or leadership position.
</li><li>Hands-on expertise in AI/ML frameworks and experience deploying AI solutions at scale.
</li><li>Hands-on experience with Generative AI frameworks and excellent knowledge on prompt engineering, prompt design patterns, Advanced RAG ,Agentic AI ecosystem , base mode fine tuning etc.
</li><li>Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI/ML offerings.
</li><li>Strong grasp of database systems, including SQL and NoSQL databases
</li><li>Strong understanding of various vector databases, embedding models and various base models
</li><li>Proficiency in implementing security protocols and data compliance frameworks
</li><li>Excellent communication, leadership, and change management skills.
</li><li>Experience in setting up large-scale digital platforms with AI-driven capabilities.
</li><li>Knowledge of AI ethics, fairness, and explainability.
</li>Demonstrated ability to analyze complex business requirements, design scalable and innovative solutions, and align technology frameworks with organizational goals.<br>
<li>
</li></ul><p></p><p>Responsibilities:
</p><ul><li>Lead end-to-end digital transformation initiatives, integrating AI-driven technologies to enhance processes, optimize workflows, and deliver exceptional business outcomes.
</li><li>Act as a bridge between technical teams and business units, translating complex technical concepts into actionable business insights and vice versa.
</li><li>Oversee the delivery of AI-enabled solutions, ensuring timely execution, adherence to quality standards, and realization of business value.
</li><li>Work closely with legal experts, business stakeholders, and technical teams to define requirements and deliver impactful solutions.
</li><li>Architect solutions that are scalable, secure, and optimized for real-time arbitration use cases</li></ul></div>

Generative AI Solution Architect

Ericsson

<div><div><div><div><h2 class="jobSectionHeader"><b>Join our Team</b></h2></div><p></p><div><p><b><br>
About this opportunity:</b></p><p></p><p><br>
Ericsson seeks a Solution Architect to design end-to-end GenAI/AI solutions that align with customer needs and business goals. You&rsquo;ll bridge between requirements, architecture, and delivery, supporting consultants during analysis and high-level design, with opportunities to contribute to customer support, sales, and service delivery.</p><p></p><p><b><br>
What you will do:</b></p><br>
<p></p><ul><li>
Define and own enterprise-scale GenAI/AI architectures.</li><li>
Design reference architectures, reusable patterns, and integration best practices.</li><li>
Collaborate with domain leads, data scientists, security, and developers to map requirements to scalable AI architectures.</li><li>
Evaluate LLMs, vector databases, and orchestration frameworks for performance, compliance, and cost.</li><li>
Architect RAG pipelines, agentic workflows, and multi-agent production deployments.</li><li>
Embed security, privacy, governance, and Responsible AI by design.</li><li>
Drive adoption of cloud-native AI services (Azure OpenAI, AWS Bedrock) with scalability in mind.</li><li>
Lead model lifecycle management (deployment, monitoring, retraining, drift handling) and MLOps practices.</li><li>
Recommend tools and protocols (e.g., MCP, LangChain, LangGraph) for robust interoperability.</li><li>
Stay ahead of GenAI/AI trends and translate them into actionable roadmaps.</li></ul><p></p><p><b><br>
The skills you bring:</b></p><br>
<p></p><ul><li>
Proven AI/ML/GenAI architecture/design experience for large-scale systems.</li><li>
Strong Python expertise; familiarity with ML/DL frameworks (PyTorch, TensorFlow).</li><li>
Deep knowledge of LLM architectures, fine-tuning (LoRA, PEFT, adapters), and deployment strategies.</li><li>
Experience with RAG pipelines, embeddings, and vector databases (Elastic, Pinecone, Milvus).</li><li>
Familiarity with agentic GenAI systems (LangChain, LlamaIndex, AutoGen, Crew.ai, LangGraph) and MCP.</li><li>
Cloud-native architecture (AWS, Azure) and container orchestration (Docker/Kubernetes).</li><li>
Solid MLOps understanding (CI/CD for ML, observability, retraining, governance).</li><li>
Strong business-technical communication and ability to translate requirements into practical roadmaps.</li><li>
Bonus: Telecom enterprise AI adoption experience</li></ul><p></p><p><b><br>
Key Qualifications:</b></p><br>
<p></p><ul><li>
Education: B.E/B.Tech, MCA (regular)</li><li>
Minimum experience: 10+ years</li><li>
Locations: Gurgaon, Kolkata , Noida</li></ul></div></div></div><p></p><p><b><br>
Why join Ericsson?</b></p><p>
At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.<br>
<br>
<b>What happens once you apply?</b></p><p>
Click Here to find all you need to know about what our typical hiring process looks like.</p><p>
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.</p><p><b>
Primary country and city:</b> India (IN) || Gurgaon</p><p><b>
Req ID:</b> 775813</p></div>

AI-Data Architect

ZoomInfo

<div><div><p>ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen&ndash;fast.</p></div><p>
The Enterprise Tech Team at ZoomInfo is seeking an experienced, motivated, and innovative Enterprise Architect, Technologist, and Innovation Lead. This role involves researching, strategizing and designing enterprise tech applications to enhance business scale, speed, and innovation, contributing both to specific tech cores or business functions and to the broader Enterprise Tech organization.</p>
<p><b>
What You'll do:</b></p><br>
<p></p>
<ul>
<li>Researching industry innovations, products and trends, identifying business use cases, particularly for new AI products, and developing solutions to accelerate business outcomes for the enterprise.</li>
<li>Technology and Innovation Lead is a strategic and influential position and is responsible for shaping, driving, and executing the technical strategy and direction for respective tech functions.</li>
<li>Market research, alternative analysis and evaluation of technology products, platforms, applications, preparing the use cases and technical documentation.</li>
<li>AI and other product assessment, evaluation, documentation and creating technology proposals.</li>
<li>Drive forward the technology direction to enable the modernization and enable the delivery of advanced technologies, using cloud, AI/ML, data, advanced analytics, and automation. Thus, this role will facilitate both creating new technology opportunities aligned to business priorities, as well as enable new business opportunities led by technology.</li>
<li>Proactively identify and determine cases of Proof of Concept/Proof of Value and set the direction and approach to achieve.</li>
<li>Establish and facilitate the planning activities associated with architecture that includes strategic architecture (2-5 year) roadmap development and management (for AI, Automation, Data &amp; Analytics, Application, and Technology), long-range plan inputs, function specific architecture definition, review and management, and application / technology optimization.</li>
<li>Implement a technology architecture roadmap and future strategy (Modernization of functional architecture &ndash; Platform, Information, and Application).</li>
<li>Actively promote best architectural principles and practices, looking for opportunities to go global where possible and maximize re-use.</li>
<li>Ensure that business requirements are well mapped /incorporated into system design and the appropriate technology, skill and tool are chosen and aligned.</li>
<li>Maintain awareness of industry trends, including threats and exploits, and communicate relevant risks to key stake holders, business and technology leaders.</li>
<li>Establish good vendor relationships with key local and global strategic and innovative vendors in technology.</li>
<li>Provide advice on technical aspects of system development and integration (including requests for changes, deviations from specifications, etc.) and ensure that relevant technical strategies, policies, standards, and practices are applied correctly.</li>
<li>Maintain an architecture status scorecard (Governance, POC/POV, Modernization, and Alignment with principals), measure, and improve/upgrade the current technical/operational status. Share with stakeholders.</li>
<li>Planning and execution of technology projects, key initiatives or programs.</li>
</ul>
<p><b>What you bring:</b></p><br>
<p></p>
<ul>
<li>8-10 years of hands-on solutions architecture experience, with significant focus on AI/ML cloud-native architectures and deployments.</li>
<li>Deep expertise in market research, product evaluation and assessment especially in AI/ML</li>
<li>Hands-on expertise with Cloud Strategy (AWS/Azure/GCP), Distributed systems and saas applications, Data Platforms &amp; Analytics, DevOps.</li>
<li>Working experience with different enterprise applications - SAP, Salesforce, Coupa,Snowflake, ServiceNow.</li>
<li>Deep expertise in the landscape assessment , benchmarking &amp; system, product evaluation.</li>
<li>Familiarity with conversational AI, agentic AI platforms, and Generative AI workflows, including LLMs and MicroApps</li>
<li>Strong written and verbal communications skills, with the proven ability to develop audience appropriate communications across both business and technical domains. Ability to work autonomously in ambiguous situations.</li>
<li>Proven track record of delivering complex programs/projects.</li>
<li>Proven track record on delivering a technical/architectural roadmap and implementation.</li>
<li>Experience in developing architectural direction and gaining alignment with various architectural teams depending on functional scope.</li>
<li>Experience with portfolio management and formal project management methodologies, agile frameworks (including Scrum, Kanban, SAFe, etc.) and solid understanding of associated practices and tools. A high level of intellectual curiosity, external perspective, strong learning agility and innovation interest. Operating with a product first mindset.</li>
<li>Deep understanding of privacy regulations about Information technology and security.</li></ul><br>
<p></p>
<p>
#LI-VG1</p>
<p>
#LI-Hybrid</p><div><p><b>
About us:</b></p>
<p>
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.</p>
<p>
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.</p>
<p>
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.</p><br>
<p></p>
<p>
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.</p></div></div>

Technology Governance & Architecture Analyst

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