machine learning 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

BMW TechWorks India

<p></p><div><div><div><div><div><div><div><div><div><div><div>Skills</div></div><div><div><p>
Skill</p><div><p>
JAVA
</p><p>PYTHON
</p><p>AWS CLOUD
</p><p>AZURE
</p><p>GOOGLE CLOUD
</p><p>APACHE KAFKA
</p><p>HADOOP
</p><p>DATA MINING
</p><p>MACHINE LEARNING
</p></div></div><div><p>Minimum Qualification</p><div><p>
B.TECH/B.E</p></div></div></div></div></div><div><div><div><div>
Job Description</div></div><div><div><div><p><b>
Role</b></p><p><br>
AI Solution Architect / Solution Architect (12- 15 Years)</p></div><div><div><p><br>
 <b>Visit our website </b><b>bmwtechworks.in</b><b> to know more.</b></p></div></div><p></p><div><p><b><br>
What awaits you/ Job Profile</b></p><ul><li><b><br>
Solution Design:</b> Develop comprehensive architecture plans that incorporate AI technologies to solve complex business problems and enhance operational efficiency.</li><li><b>
AI Integration:</b> Work with data scientists and engineers to integrate AI models and algorithms into business applications, ensuring scalability and performance.</li><li><b>
Stakeholder Collaboration:</b> Engage with business leaders and technical teams to gather requirements and translate them into effective AI solutions.</li><li><b>
Technology Evaluation:</b> Stay updated with the latest AI technologies and tools, evaluating their applicability to current and future projects.</li><li><b>
Quality Assurance:</b> Implement best practices for AI model development and deployment, ensuring high-quality and reliable solutions.</li><li><b>
Risk Management:</b> Identify potential risks associated with AI implementations and develop strategies to mitigate them.</li><li><b>
Performance Monitoring:</b> Monitor the performance of AI solutions, using data-driven insights to optimize and improve outcomes</li></ul></div><div><p><b><br>
What should you bring along</b></p><br>
<ul><li>
Proven experience in solution architecture and AI technologies.</li><li>
Strong understanding of machine learning, deep learning, and data analytics.</li><li>
Excellent leadership, communication, and organizational skills.</li><li>
Proficiency in AI frameworks and programming languages such as Python, TensorFlow, and PyTorch.</li></ul></div><div><p><b><br>
Must have skill</b></p><ul><li><b><br>
Machine Learning &amp; Deep Learning:</b> Proficiency in designing, training, and deploying machine learning models and deep learning architectures.</li><li><b>
Programming Languages:</b> Strong coding skills in languages such as Python, R, Java, or C++.</li><li><b>
AI Frameworks:</b> Experience with AI frameworks and libraries like TensorFlow, PyTorch, Keras, and Scikit-learn.</li><li><b>
Data Management:</b> Expertise in data preprocessing, data mining, and data visualization techniques.</li><li><b>
Cloud Computing:</b> Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, especially their AI and machine learning services.</li><li><b>
Big Data Technologies:</b> Knowledge of big data tools like Hadoop, Spark, and Kafka for handling large datasets.</li><li><b>
Natural Language Processing (NLP):</b> Understanding of NLP techniques for processing and analyzing text data.</li></ul></div><div><p><b><br>
Good to have technical skills</b></p><br>
<ul><li>
Strong analytical and problem-solving skills.</li><li>
Ability to manage multiple projects simultaneously.</li><li>
Excellent time management and organizational skills.</li><li>
Strong interpersonal skills and ability to work collaboratively across departments.</li></ul></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

EE_Integration_ Solution 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

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

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)

PwC Middle East

<div>
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  Line of Service
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 Advisory
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 Technology
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  Specialism
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 Advisory - Other
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  Management Level
  <br/>
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 Manager
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 <strong>
  Job Description &amp; Summary
  <br/>
  <br/>
 </strong>
 The PwC ETIC is looking for an experienced Applied AI Solution Architect to join our team. The successful candidate will be an integral part of our team and will be responsible for providing technical consulting services to our clients. As a consultant, you will be able to envision, build, deploy and operationalize an end-to-end machine learning (ML) and AI pipeline.
 <br/>
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 The successful candidate must have a solid technical background in the workflow and pipeline architectures of ML and deep learning. Other responsibilities will include providing guidance to clients on business requirements and developing solutions based on best practices and industry trends.
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 The ideal candidate must have superior communication and problem-solving skills, as well as deep expertise in advanced analytics tools (such as SAS, R and Python) along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks). They must also have a passion for delivering solutions that exceed the needs of our clients.
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 We are looking for someone who is a team player, proactive, and able to effectively manage multiple tasks. The successful candidate should also have excellent presentation skills and be able to quickly adapt to changing customer requirements.
 <br/>
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 If you believe you have the skills and experience to become a successful part of our team, we would be delighted to hear from you.
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 Creating technical architectures and choosing ideal tools &amp; technologies - Developing and implementing AI models and algorithms - Planning for the integration of newly created solutions into the existing ecosystem - Translating the suggestions of stakeholders and BAs into technical language by elaborating the vision of the project - Work closely with security and risk leaders to foresee and overturn risks - Collaborate with data scientists and AI professionals to augment digital transformation efforts - Keep up to date with new technologies and solutions that can add value
 <br/>
 <br/>
 <strong>
  Requirements
 </strong>
 : - Degree in Computer Science or related field - Minimum 8+ years of experience in Applied AI Solution Architecture - Proficiency in machine learning frameworks such as TensorFlow, Keras, and PyTorch - Experience with programming languages such as Python, Java, and C++ - Familiarity with cloud computing platforms such as AWS, Azure, and Google Cloud - Experience with big data technologies such as Hadoop and Spark - Knowledge of data warehousing and ETL tools - Excellent problem solving and communication skills - Ability to work independently as well as in a team - Ability to handle customer queries and provide timely solutions
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  Preferable
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 : To have a minimum of a master&rsquo;s degree in computer science, data science or an AI-related discipline. You will need a proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis. You will also need to be familiar with a whole host of other approaches used in practical applications of machine learning.
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 <strong>
  What we offer:
 </strong>
 Flexible working arrangements (Flex-work, Home Office) Refer-a-Friend &ndash; get a bonus in the employee referral program Wide range of leading-edge trainings (including language courses) Family Medical Insurance Yearly Bonus At PwC, The skills we look for in future employees. All our people need to demonstrate the skills and behaviors that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviors make up our global leadership framework, &lsquo;The PwC Professional&rsquo;. The PwC Professional focuses on five core attributes; whole leadership, business acumen, technical and digital, global and inclusive, and relationships. We use this framework to recruit, develop and assess our people, at all grades and all areas of our business, because we expect all of our people to be leaders.
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  Whole leadership
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 : The ability to lead yourself and others to make a difference and create a positive impact in a responsible, authentic, resilient, inclusive and passionate manner.
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  Global acumen:
 </strong>
 The ability to operate and collaborate effectively with a mindset that transcends boundaries and embraces diverse perspectives.
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  Technical and Digital :
 </strong>
 Focus on fast growing technologies and how to make use of them towards digital transformation.
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  Business acumen:
 </strong>
 The ability to bring business knowledge, innovation and insight to create distinctive value for clients and PwC.
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  Relationships:
 </strong>
 The ability to build relationships of high value which are genuine and meaningful.
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  Education
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  Certifications
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  Travel Requirements
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 0%
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  Available for Work Visa Sponsorship?
  <br/>
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 No
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  Government Clearance Required?
  <br/>
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 No
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  Job Posting End Date
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ETIC, AI Solution Architect- Manager

VentureDive

<div>
 <strong>
  Job Brief
  <br/>
  <br/>
 </strong>
 We are seeking a highly skilled
 <strong>
  Data &amp; AI Architect
 </strong>
 to design and implement scalable, secure, and high-performance data and AI architectures across cloud and hybrid environments. The ideal candidate will have deep expertise in data engineering, machine learning, and AI solution design, with experience leveraging cloud-native and open-source technologies to deliver intelligent, data-driven solutions. This role demands strong technical leadership, architectural vision, and the ability to translate complex business requirements into cohesive Data &amp; AI ecosystems that support analytics, automation, and innovation.
 <br/>
 <br/>
 <strong>
  VentureDive Overview
  <br/>
  <br/>
 </strong>
 Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect, design, and implement end-to-end Data &amp; AI solutions across cloud, on-premises, or hybrid environments
  </li>
  <li>
   Build Data ingestion, transformation, and storage pipelines for structured, semi-structured, and unstructured data sources
  </li>
  <li>
   Design and implement AI/ML pipelines, including feature Agentic applications engineering, model training, deployment, and monitoring
  </li>
  <li>
   Leverage modern Data and AI platforms (e.g., Databricks, Snowflake, BigQuery, Redshift, Synapse, Vertex AI, SageMaker, or Azure ML) to enable advanced analytics and predictive modeling
  </li>
  <li>
   Collaborate with stakeholders to define Data and AI strategy, architecture blueprints, and technology roadmaps
  </li>
  <li>
   Integrate ML models and AI services (e.g., generative AI, NLP, computer vision) into business workflows and enterprise applications
  </li>
  <li>
   Implement data governance, model governance, and Responsible AI frameworks to ensure compliance, transparency, and ethical AI usage
  </li>
  <li>
   Optimize pipelines and workflows for performance, scalability, and cost-efficiency
  </li>
  <li>
   Partner with engineering and DevOps teams to establish MLOps and DataOps practices for continuous integration and deployment of models
  </li>
  <li>
   Produce high-quality architecture documentation, data flow diagrams, and solution blueprints
  </li>
  <li>
   Mentor engineers and data scientists, promoting best practices in data engineering, AI architecture, and cloud-native design
  </li>
  <li>
   Stay current with emerging AI, LLM, and data technologies to evaluate their potential in enterprise and government use cases
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience &amp; Qualification:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   10+ years of experience in data engineering, data architecture, or AI solution design
  </li>
  <li>
   Strong hands-on experience with data platform technologies, such as:
  </li>
  <li>
   Data pipelines: Apache Spark, Airflow, dbt, Kafka, Flink, or similar
  </li>
  <li>
   Data storage: Data lakes, warehouses, and lakehouses (e.g., Snowflake, Delta Lake, BigQuery, Redshift, Synapse)
  </li>
  <li>
   AI/ML platforms: TensorFlow, PyTorch, scikit-learn, MLflow, or cloud ML platforms (Azure ML, SageMaker, Vertex AI)
  </li>
  <li>
   Proven experience building and deploying machine learning models at scale (batch, streaming, or real-time)
  </li>
  <li>
   Deep understanding of data lakehouse and data mesh architectures
  </li>
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   Experience implementing governance, lineage, and security frameworks for data and AI systems
  </li>
  <li>
   Strong communication and stakeholder management skills, with the ability to explain architectural concepts to diverse audiences
  </li>
  <li>
   Demonstrated ability to balance innovation, scalability, and cost optimization in complex ecosystems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Knowledge of Generative AI, LLMs, vector databases, and embedding-based retrieval (e.g., RAG architectures)
  </li>
  <li>
   Experience with MLOps tools (MLflow, Kubeflow, Vertex Pipelines, or Azure ML pipelines)
  </li>
  <li>
   Familiarity with DataOps and CI/CD practices for data and AI workflows
  </li>
  <li>
   Integration of AI insights into BI or visualization tools (e.g., Power BI, Tableau, Looker)
  </li>
  <li>
   Exposure to real-time AI applications, including anomaly detection, predictive maintenance, or conversational AI
  </li>
  <li>
   Experience leading data and AI modernization initiatives or enterprise AI strategy projects
  </li>
  <li>
   Understanding of governance and compliance frameworks (GDPR, ISO 27001, NIST, or sector-specific standards)
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  </li>
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 <strong>
  What We Look For Beyond Required Skills
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 In order to thrive at VentureDive, you
 <br/>
 <br/>
 &hellip;are intellectually smart and curious
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 &hellip;have the passion for and take pride in your work
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 &hellip;deeply believe in VentureDive&rsquo;s mission, vision, and values
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 &hellip;have a no-frills attitude
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 &hellip;are a collaborative team player
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 &hellip;are ethical and honest
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 Are you ready to put your ideas into products and solutions that will be used by millions?
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 You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!
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Data & AI Architect

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