ai solution architect

PwC Middle East

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  Job Description &amp; Summary
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 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.
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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.
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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
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  Requirements
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 : - 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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  What we offer:
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 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:
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 The ability to operate and collaborate effectively with a mindset that transcends boundaries and embraces diverse perspectives.
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  Technical and Digital :
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 Focus on fast growing technologies and how to make use of them towards digital transformation.
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  Business acumen:
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 The ability to bring business knowledge, innovation and insight to create distinctive value for clients and PwC.
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 The ability to build relationships of high value which are genuine and meaningful.
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  Government Clearance Required?
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ETIC, AI Solution Architect- Manager

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><ul><li>Strong Solutioning Skills
</li><li>Strong programming skills in Python
</li><li>Expertise in machine learning is a must. In depth knowledge of various machine learning models and techniques; deep learning, supervised and unsupervised learning, natural language processing, and reinforcement learning.</li>
<li>Expertise in data analysis and visualization to extract insights from large datasets and transmit them virtually. Good knowledge on data mining, statistical methods, data wrangling, and visualization tools like Power BI, Tableau and matplotlib.</li>
<li>Expertise in various machine learning frameworks - TensorFlow, Scikit-Learn and PyTorch.</li>
<li>Experience in Containers (Docker), Kubernetes, Kafka (or other messaging platform), Apache Camel, RabbitMQ, Active MQ, Storage / RDBMS and No-SQL databases etc..</li>
<li>Time Series Modelling</li>
<li>Computer Vision</li></ul><br>
<br>
</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>Consultant</div>
</div><div><div><b>Job Id</b></div>
<div>371215</div>
</div><div><div><b>Desired Skills</b></div>
<div>AWS solution architect | Python</div>
</div><div><div><b>Additional Information</b></div>
<div>Location Pan India</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

AI Solution Architect

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

Visionary Tech Services LLC

<div><p>We are undertaking an AI Transformation Assessment to define the strategic, financial, and operational foundations for becoming an AI-Empowered media organisation.</p><p>
The assessment will evaluate the current state, identify high-value AI use cases across departments, quantify the investment and ROI, and deliver a Business &amp; Investment Case supported by a prioritised Implementation Roadmap.</p><p>
A multidisciplinary team &mdash; including business, financial, media, and technical experts &mdash; will collaborate with stakeholders to produce actionable insights, establish readiness for AI adoption, and guide the transition toward data-driven, automated, and scalable operations.</p><p>
We are seeking an Infrastructure &amp; AI Cloud Solution Architect to design, assess, and recommend the scalable, secure, and cost-efficient infrastructure architecture required to support AI workloads across Customer&rsquo;s cloud and on-prem environments. The role ensures the AI Transformation Assessment captures realistic technical dependencies, cost implications, and readiness gaps&mdash;bridging strategy and implementation planning.
</p><p>It will work with the Customer Technology Office to align and re-enforce architecture standards for integration of third-party services; optimising performance and cost-efficiency for the chosen AI platforms and technologies.</p><p><b>
Expected Outcomes of this role</b></p><ul><li>A validated <b>infrastructure assessment</b> report outlining current capabilities, gaps, and readiness for AI workloads.</li><li>A proposed <b>target architecture design</b> and roadmap supporting the AI Transformation Plan.</li><li>Cost and effort inputs feeding into the <b>Business &amp; Investment Case</b>.</li></ul><p>
Documented <b>recommendations and risks</b> for infrastructure scalability, resilience, and vendor integrations.</p><p><b>
Key Duties &amp; Responsibilities:</b></p><p><b>
Design and maintain complex financial models</b> capturing cost structures, effort estimates, productivity gains, and long-term ROI across multiple departments.</p><p><b>
Conduct baseline financial assessments</b> of current operations, identifying cost inefficiencies and potential automation savings.</p><p><b>
Develop scenario projections</b> (Conservative, Base, Ambitious) that illustrate investment pathways, payback periods, and breakeven points.</p><p><b>
Quantify tangible and intangible benefits</b>, including efficiency gains, risk reduction, workforce redeployment, and audience growth impact.</p><p><b>
Consolidate all quantitative findings</b> into a robust and defensible <b>Business &amp; Investment Case</b>, supported by sensitivity and risk analyses.</p><p><b>
Partner </b>with the AI Project Manager, Business Analysts, Technical SMEs, and Department Heads to validate assumptions and align financial outputs with operational realities.</p><p><b>
Prepare executive-ready dashboards and summaries</b>, translating analytical results into actionable insights for decision-makers.</p><p><b>
Support Steering Committee presentations</b> by articulating key financial narratives, trade-offs, and recommendations.</p><p><b>
Requirements</b></p><p><b>
10+ years</b> of experience in infrastructure or cloud architecture.</p><p>
Hands-on experience working in <b>data, or digital transformation projects</b>.</p><p>
Demonstrated strong expertise in designing <b>AI/ML-ready environments</b>, including Cloud GPU/compute orchestration, data pipelines, and storage optimisation.</p><ul><li>Strong background in <b>hybrid cloud architecture</b> (cloud + on-prem integration) and API-driven ecosystems.</li><li>Proven ability to translate business and AI requirements into <b>scalable technical designs and cost-efficient infrastructure solutions</b>.</li><li>Excellent understanding of <b>security, compliance, and data governance</b> in enterprise AI deployments.</li><li>Exceptional communication skills, with the ability to collaborate across technical and non-technical stakeholders.</li></ul><p></p><p><b>
Desirable Qualifications / Skills:</b></p><p></p><ul><li><br>
Active <b>Cloud Certifications</b> in Microsoft Azure and <b>AWS </b>(Professional-Level)</li><li>Hands on<b> AWS Cloud Design</b> and implementation.</li><li><b>Natural Language Processing (NLP):</b> process queries, and generate human-like text responses &ndash; Including Sentiment Analysis applications</li><li>Experience with <b>MLOps, DataOps, or automation frameworks</b> is highly desirable.</li><li><b>Generative AI Expertise:</b> Experience designing and architecting AI Infrastructure with LLMs, text-to-image/video, and creative AI tools for media workflows.</li><li><b>Data &amp; MLOps:</b> Strong in ETL pipelines, real-time streaming, and ML lifecycle management architecture design.</li><li><b>Media Infrastructure Knowledge:</b> Understanding of MAM/DAM systems, metadata, transcoding, and integration of streaming protocols is a plus</li><li><b>Cloud &amp; GPU Architecture:</b> Skilled in multi-cloud (AWS/Azure/GCP) and GPU-based AI infrastructure design within Air-Gapped sovereign environments</li></ul><p></p><p><b>
Contractual Duration:</b> Short-term contract for a period of 3 weeks.</p></div>

Infrastructure & AI Cloud Solution Architect

<div>
 <strong>
  Introduction
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 A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
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 You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.
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 Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment
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  Your Role And Responsibilities
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 As a Generative AI Solution Architect with IBM Consulting, you are primarily responsible for designing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks (Microsoft Azure / Open AI, AWS, Aleph Alpha, as well as Open Source). In addition, you are supporting business development, sales as well as the delivery of consulting and system integration projects in Data &amp; AI for our clients.
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   You have end-to-end technical responsibility during the acquisition, design and delivery of technically complex GenAI projects at scale
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   You are accountable for the development and productive deployment of scalable Generative AI applications and platforms, particularly within (hybrid) cloud architectures.
  </li>
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   You provide consultation and support to clients and colleagues in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions.
  </li>
  <li>
   You guide and support clients and colleagues in the adoption of development and operational processes for AI solutions, such as Agile DevOps, FinOps, Trustworthy AI and MLOps methodologies.
  </li>
  <li>
   You stay abreast of the latest developments in the Artificial Intelligence market and research environment, actively participating in knowledge transfer within IBM Consulting, especially when it comes to mentoring junior team members and delivery teams.
  </li>
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   You also develop the strategy, vision, and roadmap for GenAI architectures within our consulting business, contributing to both our immediate sales objectives and long-term business growth.
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  Preferred Education
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 Master's Degree
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  Required Technical And Professional Expertise
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 Professional with at least 2-7 years of experience ideally in data and analytics and/or architecture, including 3 years in the design, build, and implementation of AI/Deep Learning &amp; GenAI solutions.
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 <ul>
  <li>
   Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases.
  </li>
  <li>
   Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X).
  </li>
  <li>
   Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source).
  </li>
  <li>
   Very good at stakeholder management and influencing skills, consultancy skills a very strong plus.
  </li>
  <li>
   Able to convey complex technical concepts to non-technical stakeholder
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Technical And Professional Experience
  <br/>
  <br/>
 </strong>
 Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases.
 <br/>
 <br/>
 <ul>
  <li>
   Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X).
  </li>
  <li>
   Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source).
  </li>
  <li>
   Very good at stakeholder management and influencing skills, consultancy skills a very strong plus.
  </li>
  <li>
   Able to convey complex technical concepts to non-technical stakeholders. * Fluent in English
  </li>
 </ul>
</div>


Data Scientist - Generative AI

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

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>

AI Architect

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