ai architect

Zoolatech

<div><div><div><div><div><div><div><div><b>OVERVIEW</b></div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>Our client - leading jewelery company is seeking a seasoned AI Architect to lead and define the architecture and strategic direction for AI and machine learning initiatives. This position will play a pivotal role in shaping the AI ecosystem, focusing on developing robust, secure, and scalable AI capabilities. The AI Architect will work across teams to bring together best practices, industry trends, and emerging technologies, enabling the design and implementation of state-of-the-art AI solutions tailored to our client&rsquo;s unique retail environment.</p>
</div><div><ul><li><p>Strategic Planning &amp; Industry Alignment: Stay abreast of AI/ML industry trends, including advances in LLMs, advances in Generative AI, multi-agentic solutions, Digital Twins, chatbot capabilities, hallucination handling, and SaaS-based AI, translating these trends into Pandora&rsquo;s AI roadmap.</p></li><li><p>
Solution Design: Drive the solution architecture for AI and ML use cases, ensuring alignment with business objectives and engineering standards. Collaborate with various teams to design AI and machine learning models that enhance digital ecosystem across the value chain: from intelligent manufacturing through to omnichannel personalisation.</p></li><li><p>
Capability Assessment and Acquisition: Lead evaluations and integrations of third-party AI SaaS solutions. Guide build vs. buy decisions.</p></li><li><p>
Governance and Best Practices: Develop and enforce architecture frameworks that prioritize security, scalability, and performance in all AI-related implementations. Champion data governance and ethical AI practices, ensuring solutions are compliant, transparent, and aligned with industry standards.</p></li><li><p>
Collaboration with Cross-functional Teams: Work closely with the Data &amp; AI platform team and other engineering departments to ensure AI architecture supports scalability and operational goals, including integrating data pipelines, MLOps, and real-time event streaming solutions.</p></li><li><p>
Non-Functional Requirements (NFRs) Compliance: Ensure that all AI solutions adhere to strict NFRs, including high availability, fault tolerance, and security, suitable for enterprise-scale AI deployments.</p></li><li><p>
Technical Oversight: Provide hands-on guidance in the architecture and deployment of AI models, including implementing proof of concept models and conducting code reviews. Dedicate approximately 15% of time to hands-on coding for prototyping and PoCs.</p></li></ul>
</div><div><p>Qualifications:</p><ul><li><p>
Extensive experience in AI and ML architectures, including knowledge of LLMs, traditional ML, Generative AI and other advanced AI concepts&rsquo;, chatbot frameworks, hallucination mitigation techniques, and other advanced AI concepts.</p></li><li><p>
Prior experience as a Solution Architect or similar role, with demonstrated success in deploying AI/ML platforms and tools.</p></li><li><p>
Experience with cloud platforms, preferably Azure, and AI/ML tools within cloud environments.</p></li></ul><p>
Technical Skills:</p><ul><li><p>
Strong proficiency in designing AI architectures, particularly in areas like MarTech, digital retail, and personalization.</p></li><li><p>
Familiarity with architectural frameworks like TOGAF or Zachman and expertise in Domain-Driven Design (DDD).</p></li><li><p>
Hands-on experience with MLOps, cloud-native solutions, big data and AI platforms, Infrastructure as Code (IaC) tools like Terraform or Azure Resource Manager, databricks, Fabric for data plaforms.</p></li><li><p>
Proficiency in handling and integrating SaaS-based AI solutions and managing interoperability within a complex tech landscape.</p></li><li><p>
Knowledge of Event-Driven and Microservices Architectures to support real-time data processing and AI interactions.</p></li></ul><p>
Soft Skills:</p><ul><li><p>
Strong communicator, able to convey complex technical concepts to non-technical stakeholders and influence strategic decisions.</p></li><li><p>
A leader with a collaborative mindset, capable of driving cross-functional initiatives and ensuring alignment with Pandora&rsquo;s AI vision.</p></li></ul><p>
Additional Skills and Experience:</p><ul><li><p>
Certification in cloud platforms (e.g., Microsoft Azure AI, AWS AI, etc&hellip;).</p></li></ul><ul><li><p>
Experience with security practices, compliance, and cost management in AI</p></li></ul><p>
solutions.</p><ul><li>Familiarity with AI risk management, including ethical AI, explainability, and privacy.</li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>BigData
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

AI Architect

Shag Infotech Pvt. Ltd.

<p><b>Job Summary:</b><br/>Shag Infotech is looking for an experienced AI Architect to design and implement advanced AI systems that enhance our IT and marketing solutions. The ideal candidate will combine deep technical expertise with strategic thinking to build scalable, AI-driven platforms and solutions.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, and implement AI architectures and frameworks for business and marketing applications.</li><li>Collaborate with data scientists, engineers, and product teams to integrate AI solutions into production.</li><li>Lead AI strategy, ensuring scalable and robust AI systems aligned with business goals.</li><li>Evaluate and implement emerging AI technologies and tools.</li><li>Ensure AI models are reliable, secure, and optimized for performance.</li><li>Provide technical guidance and mentorship to AI and ML teams.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or related field.</li><li>5+ years of experience in AI/ML architecture, data engineering, or AI solution design.</li><li>Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Keras) and cloud platforms (AWS, Azure, GCP).</li><li>Experience designing scalable AI systems and deploying production-level AI models.</li><li>Solid understanding of NLP, deep learning, computer vision, or recommendation systems.</li><li>Excellent problem-solving, communication, and leadership skills.</li></ul><p><b>What We Offer:</b></p><ul><li>Opportunity to lead cutting-edge AI projects in IT and marketing.</li><li>Collaborative, innovation-driven work environment.</li><li>Competitive salary with performance-based incentives.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Innovapptive

<div><p><b>Chief AI Architect (Enterprise AI Systems &amp; Governance)</b></p><h3 class="jobSectionHeader"><b>
Location</b>: Hyderabad, India</h3><h3 class="jobSectionHeader"><b>
Employment Type: </b>Full-Time; Salaried</h3><h3 class="jobSectionHeader"><b>
Compensation:</b> Base Salary, Bonus, Stock Options, Medical</h3><h1 class="jobSectionHeader"><b>
Job Description</b></h1><h3 class="jobSectionHeader"><b>
About Us</b></h3><p>
Innovapptive is a <b>category-defining SaaS company</b> building the world&rsquo;s most advanced <b>AI-powered Connected Worker Platform</b> for the industrial sector. Headquartered in Houston, TX, and backed by <b>Vista Equity Partners</b>, Innovapptive is on a mission to <b>reimagine how industrial work gets done</b> &mdash; connecting frontline workers, back-office systems, and assets in real time to drive higher safety, reliability, and productivity.</p><p>
Our platform is trusted by some of the world&rsquo;s largest enterprises &mdash; including <b>Shell, Hess, Cenovus Energy, W.R.Grace, Westlake Chemicals, UNICEF, Kimberly Clark, Scott Miracle Gro, and Newmont Mining</b> to name a few, and across chemicals, energy, mining, and manufacturing industries. These customers have achieved tangible, hard-dollar results, such as:</p><ul><li>
Over <b>$40 million in annual EBITDA savings</b> at a single enterprise.</li><li><b>
10&times; frontline productivity improvements</b> through mobile-first and AI-enabled workflows.</li><li><b>
15&ndash;20% maintenance cost reductions</b> and <b>significant uptime gains</b> across plants and sites.</li></ul><p>
Innovapptive is recognized by leading industry analysts for its differentiated value creation model:</p><ul><li>
Named a <b>Leader in the Frost &amp; Sullivan Industrial Connected Worker Radar.</b></li><li>
Featured by <b>Gartner</b> in &ldquo;Connected Factory Worker&rdquo; research and the <b>Hype Cycle for Manufacturing Operations Strategy.</b></li><li>
Cited by <b>LNS Research</b> for delivering <b>3&ndash;5&times; greater value</b> than point solutions through unified OT&ndash;IT execution, AI/vision innovation, and field-proven ROI.</li></ul><p>
Our growth is backed by <b>Tiger Global Management and Vista Equity Partners</b>, one of the world&rsquo;s premier software investors, known for scaling high-performance SaaS companies. Together, we are building the next-generation AI Powered Connected Worker Platform, combining cutting-edge technologies &mdash; SLM&rsquo;s, Generative AI, Computer Vision, and Intelligent Orchestration &mdash; into a unified system that transforms plant operations globally.</p><p>
Today, with over <b>300+ employees across the U.S., India, and ANZ</b>, Innovapptive stands at a pivotal inflection point: with an ambition to scale to <b>$100M ARR within the next 3-4 years</b> by industrializing every aspect of our product, engineering, and customer delivery systems.</p><h3 class="jobSectionHeader"><b>
The Role</b></h3><ul><li>
The Chief AI Architect is the strategic and technical authority responsible for the Enterprise AI Reference Architecture at Innovapptive.</li><li>
Reporting directly to the SVP of Engineering &amp; Technology, this role establishes how AI Agents, Models, Data, and Control Systems interact&mdash;ensuring reliability, security, and cost efficiency as AI becomes a core layer of the Connected Worker Platform.</li><li>
This leader combines deep systems architecture expertise with pragmatic engineering instincts, designing for scale while guiding lean execution.<br>
They partner closely with the AI Platform Architect, VP of Technology &amp; Architecture, and Engineering Ops** to create a cohesive AI governance and delivery ecosystem.</li></ul><h3 class="jobSectionHeader"><b>
How You Will Make An Impact</b></h3><p><b>
1. Define the Enterprise AI Reference Architecture</b></p><ul><li>
Architect the AI Systems Blueprint&mdash;covering model selection, agent orchestration (MCP), data flows, vector stores, governance, and observability.</li><li>
Standardize communication and context-sharing between Agents, microservices, and data systems.</li><li>
Ensure modularity and extensibility for new AI Agent types (Planner, Detect, Assist, Optimize).</li></ul><h4 class="jobSectionHeader"><b>
2. Establish AI Governance and Trust Framework</b></h4>
<ul><li>
Build a comprehensive AI Governance Model&mdash;covering data ethics, security, prompt versioning, model selection, and human-in-the-loop controls.</li><li>
Define metrics for accuracy, explainability, safety, and drift, with dashboards visible to engineering and leadership.</li><li>
Implement AI observability standards across telemetry (Sentry, Datadog) and cost management frameworks.</li></ul><h4 class="jobSectionHeader"><b>
3. Integrate AI Architecture with Core Platform</b></h4>
<ul><li>
Partner with the AI Platform Architect to embed governance and monitoring within the MCP control plane.</li><li>
Define APIs and integration patterns for connecting LLMs, vector databases, and industrial data sources (OSI PI, SAP, Maximo).</li><li>
Guide teams on designing AI features that extend existing modules rather than duplicating them.</li></ul><h4 class="jobSectionHeader"><b>
4. Build AI Engineering Standards and Culture</b></h4>
<ul><li>
Author of the AI Engineering Playbook&mdash;principles for AI system design, testing, and documentation.</li><li>
Define best practices for prompt design, validation, and cost optimization (&ldquo;AI SRE&rdquo; principles).</li><li>
Conduct architecture reviews and mentoring sessions to upskill engineers on AI systems thinking.</li></ul><h4 class="jobSectionHeader"><b>
5. Partner for Business Value and Adoption</b></h4>
<ul><li>
Translate executive KPIs (velocity, reliability, cost take-out) into AI architecture objectives.</li><li>
Work with Product and Customer Success to measure and communicate value created by AI-powered features.</li><li>
Collaborate with Security, Finance, and Legal to maintain auditability and compliance.</li></ul><h3 class="jobSectionHeader"><b>
What You Bring to The Team</b></h3><ul><li>
15 + years in software architecture, including 5 + years in AI platform or systems architecture.</li><li>
Proven experience building AI governance or multi-agent systems for SaaS or enterprise products.</li><li>
Strong understanding of LLMs, retrieval architectures, and agent frameworks (LangChain, CrewAI, Semantic Kernel, DSPy).</li><li>
Deep knowledge of data pipelines, vector databases (Pinecone, Weaviate, Qdrant), and embedding models.</li><li>
Familiarity with AI security and compliance frameworks (ISO 27001, SOC 2, GDPR).</li><li>
Excellent communication and system design skills; able to align executives, architects, and engineers around a shared vision.</li></ul><h3 class="jobSectionHeader"><b>
Success Metrics (FIRST 90-180 Days)</b></h3><ul><li>
AI Reference Architecture Blueprint completed and adopted across engineering teams.</li><li>
Governance Framework operational, including prompt versioning and observability dashboards.</li><li>
MCP governance and telemetry integrated with Platform and DevOps systems.</li><li>
AI Engineering Playbook published and used by engineering and product teams.</li><li>
AI cost and latency metrics visible and controlled across production agents.</li></ul><h3 class="jobSectionHeader"><b>
Why does this Role Matter?</b></h3><ul><li>
AI is now the core operating system of Innovapptive&rsquo;s future &mdash; and architecture is its language of truth.</li><li>
The Chief AI Architect ensures that our AI capabilities are not just powerful, but responsible, reliable, and governed by design.</li><li>
This leader turns AI innovation into a scalable, trusted platform advantage &mdash; building the bridge between experimentation and industrialization.</li></ul><h3 class="jobSectionHeader"><b>
What We Offer</b></h3><ul><li>
Competitive compensation and equity tied to strategic AI delivery milestones.</li><li>
The opportunity to define the AI blueprint for a Vista-backed industrial SaaS scale-up.</li><li>
Flexible engagement model &mdash; full-time or fractional leadership.</li><li>
Hybrid work arrangement with periodic travel to Houston HQ for executive alignment.</li></ul><p><b>
Innovapptive does not accept and will not review unsolicited resumes from search firms.</b></p><p>
Innovapptive is an equal opportunity employer and is committed to a diverse and inclusive workplace. Qualified applicants will receive consideration for employment without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.</p><p>
</p><p>2ncTMOgX1o</p></div>

Chief AI Architect

<div><div><h2 class="jobSectionHeader"><b>Position Description:</b></h2>
<p>As an Artificial Intelligence (AI) Architect, you will be responsible for designing and implementing cutting-edge AI and ML solutions to address complex business problems. You will lead a team of engineers and data scientists to develop innovative algorithms, models, and systems that drive business growth and efficiency. Your expertise in AI and ML technologies will be essential in guiding the architecture, development, and deployment of scalable and robust AIML solutions.<br>
<br>
Proven experience building and deploying AI solutions on GCP (pre-requisite) and Azure.<br>
This is a hybrid role requiring two days per week in any CGI office, and candidates must be willing to work Eastern Time Zone hours.</p>
</div><div><h2 class="jobSectionHeader"><b>Your future duties and responsibilities:</b></h2>
<p>Design and develop high-level architectural frameworks for AI and ML solutions, ensuring scalability, performance, and reliability.<br>
<br>
Lead the design and development of advanced machine learning models to solve business challenges, leveraging techniques such as deep learning, reinforcement learning, natural language processing, and computer vision.<br>
<br>
Evaluate new AI and ML technologies, frameworks, and tools to identify opportunities for innovation and improvement in existing systems.<br>
<br>
Collaborate with cross-functional teams including data scientists, engineers, product managers, and business stakeholders to understand requirements, prioritize projects, and drive successful implementation of AIML solutions.<br>
<br>
Optimize models for performance, scalability, and efficiency, considering factors such as computational resources, latency, and memory constraints.<br>
<br>
Work closely with data scientists, ML and data engineers to ensure the availability, quality, and relevance of data for training and evaluation of AI and ML models.<br>
<br>
Lead the deployment of AIML solutions into production environments, integrating with existing systems and processes while ensuring security, reliability, and maintainability.<br>
<br>
Document architectural designs, algorithms, models, and implementation details, and effectively communicate technical concepts and recommendations to both technical and non-technical stakeholders.</p>
</div><div><h2 class="jobSectionHeader"><b>Required qualifications to be successful in this role:</b></h2>
<p>Proven experience (10 years) in designing and implementing AI and ML solutions, with a focus on architecting scalable systems.<br>
<br>
Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java).<br>
<br>
Hands-on experience developing and deploying AI solutions on GCP and Azure is required.<br>
<br>
Experience designing automation solutions with DocAI, VertexAI, and OpenAI is a must.<br>
<br>
Strong understanding of software engineering principles, including object-oriented design, design patterns, and software architecture.<br>
<br>
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).<br>
<br>
Excellent problem-solving skills and ability to thrive in a fast-paced, dynamic environment.<br>
<br>
Strong communication and interpersonal skills, with the ability to collaborate effectively across teams and influence technical decisions.<br>
<br>
Experience in leading and mentoring technical teams is a plus.<br>
<br>
Bachelors degree in Computer Science, Engineering, Mathematics, or related field; Masters preferred.<br>
<br>
Preferred Qualifications<br>
<br>
Experience supporting state, local, or federal government modernization programs, including ERP, case management, or grants systems.<br>
<br>
Familiarity with zero trust architecture, SCIM/SSO integration, and secure data exchange protocols in government contexts.<br>
<br>
Exposure to AI governance, model monitoring, and secure data pipeline architecture in public sector use cases.<br>
<br>
Participation in government audits, ATO (Authority to Operate) processes, or 3PAO engagements.<br>
<br>
Other Information<br>
<br>
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications.<br>
<br>
To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case.<br>
<br>
A reasonable estimate of the current range for this role in the U.S. is $125,500.00 $247,100.00.</p>
</div><div><h2 class="jobSectionHeader"><b>Skills:</b></h2>
<ul><li>Artificial Intelligence</li>
<li>Python</li>
</ul></div><div><h2 class="jobSectionHeader"><b>What you can expect from us:</b></h2>
<p><b>Together, as owners, lets turn meaningful insights into action.</b><br>
<br>
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because<br>
<br>
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.<br>
<br>
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.<br>
<br>
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
<br>
<br>
Come join our teamone of the largest IT and business consulting services firms in the world.<br>
<br>
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.<br>
<br>
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. <b>Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.</b><br>
<br>
We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members.<br>
<br>
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.<br>
<br>
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGIs legal duty to furnish information.</p></div></div>

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>
  <li>
   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)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Look For Beyond Required Skills
  <br/>
  <br/>
 </strong>
 In order to thrive at VentureDive, you
 <br/>
 <br/>
 &hellip;are intellectually smart and curious
 <br/>
 <br/>
 &hellip;have the passion for and take pride in your work
 <br/>
 <br/>
 &hellip;deeply believe in VentureDive&rsquo;s mission, vision, and values
 <br/>
 <br/>
 &hellip;have a no-frills attitude
 <br/>
 <br/>
 &hellip;are a collaborative team player
 <br/>
 <br/>
 &hellip;are ethical and honest
 <br/>
 <br/>
 Are you ready to put your ideas into products and solutions that will be used by millions?
 <br/>
 <br/>
 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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</div>


Data & AI Architect

<div><b>Job Brief</b><br>
We are seeking a highly skilled <b>Data &amp; AI Architect</b> 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>
<b>VentureDive Overview</b><br>
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>
<b>Key Responsibilities:</b><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.</li></ul><br>
<b>
Required Experience &amp; Qualification:</b><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><li>
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.</li></ul><br>
<b>
Preferred Skills:</b><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).</li></ul><br>
What we look for beyond required skills<br>
In order to thrive at VentureDive, you<br>
&hellip;are intellectually smart and curious<br>
&hellip;have the passion for and take pride in your work<br>
&hellip;deeply believe in VentureDive&rsquo;s mission, vision, and values<br>
&hellip;have a no-frills attitude<br>
&hellip;are a collaborative team player<br>
&hellip;are ethical and honest<br>
<br>
Are you ready to put your ideas into products and solutions that will be used by millions?<br>
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!<br>
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#LI-Hybrid<p>
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Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p><b>GenAI Senior Engineer</b></p>
<div><b>Role overview</b><br>
We are hiring for the role of Senior AI Engineer with strong expertise in LLMs, GenAI, and solution architecture. The ideal candidate will drive the design, development, and deployment of Generative AI systems, working with tools like Google Vertex AI, Azure OpenAI, and vector databases. This is a senior engineering role that requires deep technical skills and the ability to architect scalable, production-ready AI solutions across enterprise environments.<br>
<br>
<b>Key Responsibilities:</b><br>
<ul><li>Lead the design, development, and optimization of GenAI agents using Google Vertex AI, Azure AI, or similar platforms.</li><li>Architect and implement end-to-end AI solutions using LLMs, APIs, vector databases, and enterprise data sources.</li><li>Build RAG-based (Retrieval-Augmented Generation) pipelines and implement prompt engineering and model fine-tuning.</li><li>Integrate with vector databases such as FAISS, Pinecone, Weaviate, or Milvus to enable intelligent search and retrieval.</li><li>Optimize and maintain scalable AI/ML pipelines for performance, cost-efficiency, and maintainability.</li><li>Collaborate with cross-functional teams to gather requirements, define AI strategies, and lead delivery efforts.</li><li>Mentor junior developers and establish best practices for AI development and deployment.</li></ul></div>
<div><b>. Mandatory : Must be available to work from office 5 days a week</b><br>
<br>
<b>Required Skills:</b><br>
<ul><li>Proven experience as a Senior AI Engineer, ML Engineer, or AI Solutions Architect.</li><li>Strong Python skills and hands-on experience with LLMs, GenAI tools, and AI/ML libraries.</li><li>Experience with cloud AI platforms (Google Vertex AI, Azure AI, AWS Bedrock, etc.).</li><li>Knowledge of vector search technologies and embedding-based retrieval.</li><li>Strong understanding of MLOps, model lifecycle management, and scalable AI deployment.</li></ul></div>
<ul><li>Hands-on experience on RAG based applications.</li></ul>
<ul><li>Hands-on experience on prompt engineering along with creation of prompt flow</li></ul>
</div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Senior Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>374868</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

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