ai solutions lead

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: AI Lead L1
</div></div></div></div><div><div><div><div>City: Hyderabad
</div></div></div></div><div><div><div><div>State/Province: Telangana
</div></div></div></div><div><div><div><div>Posting Start Date: 12/31/25
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><p><b>Role Purpose
</b><br>
The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed client&Atilde;&cent;&Acirc;&Acirc;s expectations and add value to business.<br>
<br>
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Do<br>
</b></p><p></p><ul><li><b>Manage the product/ solution development using the desired AI techniques
</b><ul><li>Lead development and implementation of custom solutions through thoughtful use of modern AI technology
</li><li>Review and evaluate the use cases and decide whether a product can be developed to add business value
</li><li>Create the overall product development strategy and integrating with the larger interfaces
</li><li>Create AI models and framework and implement them to cater to a business problem
</li><li>Draft the desired user Interface and create AI models as per business problem
</li><li>Analyze technology environment and client requirements to define product solutions using AI framework/ architecture
</li><li>Implement the necessary security features as per product&Atilde;&cent;&Acirc;&Acirc;s requirements
</li><li>Review the used case and see the latest AI that can be used in product&Atilde;&cent;&Acirc;&Acirc;s development
</li><li>Identify problem areas and perform root cause analysis and provide relevant solutions to the problem
</li><li>Tracks industry and application trends and relates these to planning current and future AI needs
</li><li>Create and delegate work plans to the programming team for product development
</li><li>Interact with Holmes advisory board for knowledge sharing and best practices
</li></ul></li><li><b>Responsible for developing and maintaining client relationships with the key strategic partners and decision makers
</b><ul><li>Drive discussions and provide consultation around product design as per customer needs
</li><li>Participate in client interactions and gather insights regarding product development
</li><li>Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements
</li><li>Assist in product&Atilde;&cent;&Acirc;&Acirc;s demonstration and receive feedback from the client
</li><li>Design presentations for seminars, meetings and enclave primarily focused over product
</li></ul></li><li><b>Team Management
</b><ul><li>Resourcing
<ul><li>Forecast talent requirements as per the current and future business needs
</li><li>Hire adequate and right resources for the team
</li></ul></li><li>Talent Management
<ul><li>Ensure adequate onboarding and training for the team members to enhance capability &amp; effectiveness
</li><li>Build an internal talent pool and ensure their career progression within the organization
</li><li>Manage team attrition
</li><li>Drive diversity in leadership positions
</li></ul></li><li>Performance Management
<ul><li>Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports
</li><li>Ensure that the Performance Nxt is followed for the entire team
</li></ul></li><li>Employee Satisfaction and Engagement
<ul><li>Lead and drive engagement initiatives for the team
</li><li>Track team satisfaction scores and identify initiatives to build engagement within the team
<br>
</li></ul></li></ul></li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Deliver
</b></p><div><div><div><div>No. </div><div>Performance Parameter </div><div>Measure
</div></div><br>
<div><div>1. </div><div>Continuous technical project management &amp; delivery </div><div>Adoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created
</div></div><br>
<div><div>2. </div><div>Client Centricity </div><div>No. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation
</div></div><br>
<div><div>3. </div><div>Capability Building &amp; Team Management </div><div>% trained on new age skills, Team attrition %, Number of webinars conducted (internal/external)<br>
</div></div><br>
</div></div></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div></div></div></div></div></div></div><div></div><div><div><div><div>Mandatory Skills: AI Infra Engg .<br>
<p></p>Experience: 5-8 Years .<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

AI Lead L1

IQ-EQ

<div><b>Company Description</b><p><b><br>
ABOUT IQ-EQ</b><br>
We&rsquo;re a leading Investor Services group offering end-to-end services in administration, accounting, reporting, regulatory and compliance needs of the investment sector worldwide.<br>
We employ a global workforce of 5,800+ people across 25 jurisdictions and have assets under administration (AUA) exceeding US$750 billion. We work with 13 of the world&rsquo;s top 15 private equity firms.<br>
Our services are underpinned by a Group-wide commitment to ESG and best-in-class technology including a global data platform and innovative proprietary tools supported by in-house experts.<br>
Above all, what makes us different is our people. Operating as trusted partners to our clients, we deliver intelligent solutions through a combination of technical expertise and strong relationships based on deep client understanding.<br>
We&rsquo;re driven by our Group purpose, to power people and possibilities.</p><b><br>
Job Description</b><p><b><br>
JOB DESCRIPTION:</b><br>
<b>TECHNOLOGY LEAD - DIGITAL &amp; AI SOLUTIONS</b><br>
<b>Office:</b> Hyderabad<br>
<b>Department:</b> Digital &amp; AI<br>
<b>Reports to: </b>Director - Digital &amp; AI Solutions</p><div><br>
<b>
Responsibilities (how we will measure success)</b><br>
<ul><li>Lead the design, development, and deployment of digital and AI solutions, including but not limited to AI/ML systems, LLMs, retrievable augmented generation, Advance machine learning algorithms, natural language processing applications, computer vision systems, and predictive analytics models.</li><li>Provide technical leadership and guidance to a team of developers, data scientists, and engineers, ensuring the successful execution of projects within scope, budget, and timeline constraints.</li><li>Collaborate with stakeholders to understand business requirements, identify opportunities for innovation, and translate technical concepts into actionablestrategies.</li><li>Stay abreast of emerging technologies, industry trends, and best practices in digital and AI to drive continuous improvement and maintain a competitive edge.</li><li>Oversee the implementation of robust software development methodologies, quality assurance processes, and security standards to ensure the reliability, scalability, and security of digital and AI solutions using AI/ML in Python: Proficiency in TensorFlow, PyTorch, and Keras, leveraging LLMs, transfer learning, and AWS Bedrock for scalable AI applications.</li><li>Foster a culture of innovation, collaboration, and knowledge sharing within the technology team, promoting professional growth and development opportunities for team members.</li><li>Serve as a subject matter expert on digital and AI technologies, providing insights, recommendations, and thought leadership to senior management and key stakeholders.</li><li>Continuous Improvement: Support in the development of Monitoring and evaluation tools/ procedures the performance of Digital &amp; AI solutions conducting post-implementation reviews, and implementing lessons learned to improve future decision-making and outcomes.</li><li>Process Improvement: Identifying opportunities to streamline technical solutions across IQ-EQ to improve efficiency and optimize resource utilization.</li></ul></div><p>
Compliance and Reporting: Ensuring compliance with internal policies and external regulations related to core Digital &amp; AI product deployments and preparing reports for management and stakeholders for scheduled and ad-hoc forums.</p><b><br>
Qualifications</b><div><b><br>
Requirements</b><br>
<ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or a related.</li><li>Proven experience (6+ years) in leading digital and AI projects from conception</li></ul>
 to delivery, preferably in a technology-driven environment.<br>
<ul><li>Strong technical expertise in digital technologies, including web and mobile</li></ul>
 development, cloud computing, big data analytics, and IoT.<br>
<ul><li>Deep understanding of artificial intelligence concepts and algorithms, such as</li></ul>
 machine learning, deep learning, reinforcement learning, and natural language<br>
 processing.<br>
<ul><li>Proficiency in programming languages such as Python, Java, or C++, as well as</li></ul>
 familiarity with relevant frameworks and libraries (e.g., TensorFlow, PyTorch,<br>
 scikit-learn, AI/ML in Python, Keras, leveraging LLMs, transfer learning, and<br>
 AWS Bedrock).<br>
<ul><li>Experience in developing commercial Models</li><li>Excellent communication skills with the ability to effectively convey complex</li></ul>
 technical concepts to non-technical stakeholders.<br>
<ul><li>Strong leadership abilities with a track record of building and motivating highperforming</li></ul>
 teams.<br>
<ul><li>Proven problem-solving skills, strategic thinking, and a results-driven mindset.</li></ul>
 Other<br>
<ul><li>Undertake any additional reasonable duties as required by IQ-EQ</li></ul>
 Desired Criteria:<br>
<ul><li>Systems Analysis Qualification</li><li>Experience working in Agile/Scrum methodologies.</li><li>Certifications in relevant technologies or methodologies (e.g., AWS Certified</li></ul>
 Solutions Architect, Microsoft Certified Azure AI Engineer).<br>
<ul><li>Experience of operating within a firm that shares some of the following features: -</li></ul>
o Globally distributed teams<br>
o Financial Services<br>
o Fast paced and rapidly evolving environment<br>
<ul><li>Knowledge of or experience working in a Private Equity / Investor services industry</li></ul>
<b>Key competencies for position and level</b><br>
<ul><li>Communicates Effectively</li><li>Effective Team Player</li><li>Demonstrates Resilient</li><li>Plans and Aligns</li><li>Organisation Savvy</li><li>Embodies our ABC values: Authentic, Bold, and Collaborative.</li></ul></div><b><br>
Additional Information</b><p><b><br>
OUR COMMITMENT TO YOU AND THE ENVIRONMENT</b></p><p>
As a forward-looking business, sustainability is integral to our strategy and operations. Our sustainability depends on us building and maintaining meaningful, long-term relationships with all our stakeholders &ndash; including our employees, clients, and local communities &ndash; while also reducing our impact on our natural environment.</p><p>
There is always more we can, and should do, to improve &ndash; whether in relation to our people, our clients, our planet, or our governance. Our ongoing success as a business depends on our sustainability and agility in a changing and challenging global landscape. We&rsquo;re committed to fostering an inclusive, equitable and diverse culture for our people, led by our Diversity, Equity, and Inclusion steering committee.</p><p>
Our learning and development programmes and systems (including PowerU and MyCampus) enable us to invest in growing our employees&rsquo; careers, while our hybrid working approach supports our employees in achieving balance and flexibility while remaining connected to their colleagues. We want to empower our 5,500+ employees - from 94 nationalities, speaking 41 languages across 25 countries - to each achieve their potential. Through IQ-EQ Launchpad we support female managers launching their first fund, in an environment where only 15% of all private equity and venture capital firms are gender balanced.</p><p>
We&rsquo;re committed to growing long-term relationships with our clients and supporting them in achieving their objectives. We understand that our clients' sustainability and success leads to our sustainability and success. We&rsquo;re emotionally invested in our clients right from the beginning.</p></div>

Technology Lead - AI Solutions

Infosys

<div>
 What You'll Do:
 <br/>
 <br/>
 <ul>
  <li>
   Orchestrate End-to-End Solutions: Lead the design and orchestration of integrated Marketing and AI solutions for client opportunities, from initial concept to detailed proposal. This involves working closely with sales, delivery teams, and subject matter experts from different service lines (e.g., data, creative, technology) to ensure a unified and compelling offering.
  </li>
  <li>
   Drive Proactive Pitches: Develop and present proactive solution pitches that anticipate client needs and market trends, showcasing our capabilities and thought leadership in the Marketing and AI space.
  </li>
  <li>
   Bridge the Gap: Translate complex technical and functional requirements into clear, understandable, and business-oriented solution narratives. You'll ensure our solutions are not only technically sound but also strategically aligned with client objectives.
  </li>
  <li>
   Marketing &amp; Client Acumen: Stay abreast of the latest Marketing and AI trends, platforms, and best practices. Leverage this knowledge to identify new opportunities and enhance existing solution frameworks.
  </li>
  <li>
   Collaboration &amp; Leadership: Foster strong relationships with internal teams, acting as a central point of contact for solution development. You'll guide cross-functional teams towards a shared vision for the proposed solution. What You'll Bring:
  </li>
  <li>
   10+ years of progressive experience in MarTech and AI, with a strong background in Consulting, Solution Delivery, or Pre-Sales Solutioning roles.
  </li>
  <li>
   Deep expertise in MarTech platforms and ecosystems, including CRM, Marketing Automation, Customer Data Platforms (CDP), Personalization Engines, Analytics, Creative Technologies and AdTech.
  </li>
  <li>
   Proven understanding of AI/ML concepts and their application within marketing, such as predictive analytics, natural language processing, computer vision, Generative AI and Agentic AI for marketing use cases.
  </li>
  <li>
   Demonstrated ability to orchestrate complex solutions involving multiple technologies, data sources, and business processes.
  </li>
  <li>
   Exceptional communication and presentation skills, with the ability to articulate complex concepts clearly and persuasively to both technical and non-technical audiences, including CMO, CDO, Head of Marketing, etc.
  </li>
  <li>
   Strong business acumen and the ability to understand client challenges, define business outcomes, and propose solutions that drive measurable value.
  </li>
  <li>
   Proven experience in proposal development, solution design documentation, and presenting to clients.
  </li>
  <li>
   Bachelor's degree in Marketing, Business, Computer Science, Information Systems, or a related field. A Master's degree is a plus.
  </li>
 </ul>
</div>


Marketing & AI Solutions Manager

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: Data Scientist Lead L1
</div></div></div></div><div><div><div><div>City: Bengaluru
</div></div></div></div><div><div><div><div>State/Province: Karnataka
</div></div></div></div><div><div><div><div>Posting Start Date: 12/22/25
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><p><b>Role Purpose
</b></p><p>The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Do
</b></p><p><b>1. Demand generation through support in Solution development
</b></p><p>a. Support Go-To-Market strategy
</p><p>i. Collaborate with sales, pre-sales &amp;consulting team to assist in creating solutions and propositions for proactive demand generation
</p><p>ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales
</p><p>b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses
</p><p><b>2. Revenue generation through Building &amp; operationalizing Machine Learning, Deep Learning solutions
</b></p><p>a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions
</p><p>b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options
</p><p>c. Integrate model performance management tools into the current business infrastructure
</p><p><b>3. Team Management
</b></p><p>a. Resourcing
</p><p>i. Support recruitment process to on-board right resources for the team
</p><p>b. Talent Management
</p><p>i. Support on boarding and training for the team members to enhance capability &amp; effectiveness
</p><p>ii. Manage team attrition
</p><p>c. Performance Management
</p><p>i. Conduct timely performance reviews and provide constructive feedback to own direct reports
</p><p>ii. Be a role model to team for five habits
</p><p>iii. Ensure that the Performance Nxt is followed for the entire team
</p><p>d. Employee Satisfaction and Engagement
</p><p>i. Lead and drive engagement initiatives for the team
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Deliver
 </b></p><div><div><div><div><b>No. </b></div><div><b>Performance Parameter </b></div><div><b>Measure
 </b></div></div><br>
<div><div>1. </div><div>Demand generation </div><div>Order booking
 </div></div><br>
<div><div>2. </div><div>Revenue generation through delivery </div><div>Timeliness, customer success stories, customer use cases
 </div></div><br>
<div><div>3. </div><div>Capability Building &amp; Team Management </div><div>% trained on new skills, Team attrition %<br>
</div></div><br>
</div></div></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div></div></div></div></div></div></div><div></div><div><div><div><div>Mandatory Skills: Data Science .<br>
<p></p>Experience: 5-8 Years .<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

Data Scientist Lead L1

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: Data Scientist Lead L1
</div></div></div></div><div><div><div><div>City: Pune
</div></div></div></div><div><div><div><div>State/Province: Maharashtra
</div></div></div></div><div><div><div><div>Posting Start Date: 12/23/25
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><p><b>Role Purpose
</b></p><p>The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Do
</b></p><p><b>1. Demand generation through support in Solution development
</b></p><p>a. Support Go-To-Market strategy
</p><p>i. Collaborate with sales, pre-sales &amp;consulting team to assist in creating solutions and propositions for proactive demand generation
</p><p>ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales
</p><p>b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses
</p><p><b>2. Revenue generation through Building &amp; operationalizing Machine Learning, Deep Learning solutions
</b></p><p>a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions
</p><p>b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options
</p><p>c. Integrate model performance management tools into the current business infrastructure
</p><p><b>3. Team Management
</b></p><p>a. Resourcing
</p><p>i. Support recruitment process to on-board right resources for the team
</p><p>b. Talent Management
</p><p>i. Support on boarding and training for the team members to enhance capability &amp; effectiveness
</p><p>ii. Manage team attrition
</p><p>c. Performance Management
</p><p>i. Conduct timely performance reviews and provide constructive feedback to own direct reports
</p><p>ii. Be a role model to team for five habits
</p><p>iii. Ensure that the Performance Nxt is followed for the entire team
</p><p>d. Employee Satisfaction and Engagement
</p><p>i. Lead and drive engagement initiatives for the team
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Deliver
 </b></p><div><div><div><div><b>No. </b></div><div><b>Performance Parameter </b></div><div><b>Measure
 </b></div></div><br>
<div><div>1. </div><div>Demand generation </div><div>Order booking
 </div></div><br>
<div><div>2. </div><div>Revenue generation through delivery </div><div>Timeliness, customer success stories, customer use cases
 </div></div><br>
<div><div>3. </div><div>Capability Building &amp; Team Management </div><div>% trained on new skills, Team attrition %<br>
</div></div><br>
</div></div></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div></div></div></div></div></div></div><div></div><div><div><div><div>Mandatory Skills: Data Analysis .<br>
<p></p>Experience: 5-8 Years .<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

Saudi Aramco

Title: Artificial Intelligence Specialist Overview <p>Aramco energizes the world economy.</p><p>Aramco occupies a special position in the global energy industry. We are one of the world's largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.</p><p>With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco's value to society.</p><p>Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations' spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.</p><p>We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.</p> Job Overview <p>We are seeking an Artificial Intelligence Specialist (AIS) to join Gas Operations Technical Support Div. Gas Operation Technical Support Division responsible for providing Artificial Intelligence (AI) -powered solutions to all Gas Plants. The objective is to leverage AI technological advancements to support data-driven decisions in Safety, Environment, Energy, Efficiency and value creation.</p><p>Artificial Intelligence Specialist primary role is to work closely with Gas Business Line and other corporate entities to manage AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation and value tracking.</p> Duties and Responsibilities <p>The successful candidate will be required to perform the following:</p><ul><li>Leads a multidisciplinary team to oversee and monitor Gas AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation and value tracking</li><li>Collaborate with internal/external entities and with 3rd parties to drive AI implementation advancement in Gas.</li><li>Prioritizes AI business cases and oversee the quality of all deliverable packages required to secure funds</li><li>Develops a roadmap to scale-up AI solutions across the Business Line</li><li>Facilitate and monitor AI solutions development and execution phases with all stakeholders</li><li>Develops Generative AI cases for Safety, Environment, Operations and Maintenance</li><li>Applies statistical analysis methods to test hypotheses and validate results based on the project or use-case</li><li>Build and train machine learning models to solve specific problems and optimize models for performance and accuracy such as anomaly detection algorithms or predictive models</li><li>Assesses, identify, and mitigate key risks associated with cybersecurity and ensure that data practices adhere to the company's regulations and data privacy standards</li><li>Acts as the Gas AI focal point of contact and coordinator with all other entities.</li></ul> Minimum Requirements <ul><li>The candidate must hold Bachelor's degree in Engineering, Computer Science, Data science and analytics, Machine learning, or AI, or in a related field from an accredited university. Advanced degree in an engineering discipline with focus on machine learning, artificial intelligence, applied statistics or operations research is desirable</li><li>10 years of experience in building data analytics-based products or machine learning models.</li><li>Able to program in different languages such as python and has experience with statics and data cleaning libraries and methodologies, in addition to visualization such as Power BI or Tableau</li></ul><ul><li>Strong knowledge in regression and classification, association rules & clustering, big data, databases & SQL, textual analysis (NLP), neural networks, and advanced visualization. Understanding of statistical and predictive and optimization algorithms is required</li></ul><ul><li>analytical and problem-solving skills to derive insights and opportunities from data</li><li>Basic project management skills to plan, execute, and deliver data science projects</li><li>Past experience in leading AI solution deployment projects for Oil and Gas in preferable</li><li>Knowledge of plant automation systems, standard real time interfaces such as OPC and process historians such as PI is desirable.</li></ul> Job Post Duration <p>Job posting start date: 07/07/2025</p><p>Job posting end date: 12/31/2025</p> Working environment <p>Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.</p><p>At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world's biggest technical, logistical and environmental challenges, we invest heavily in talent development.</p><p>We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs - one of the largest in the world.</p>

KF Deal Lead Quality - LNG

Pfizer

<div></div><div><div>ROLE SUMMARY</div><div></div><div>
The AI Acceleration (AIA) function within the Chief Marketing Office (CMO) is the single, business-led engine that owns the design, delivery, and scale-up of priority AI capabilities across Commercial. AIA works in tight collaboration with various Pfizer functions to deploy and maintain production-grade AI solutions that simplify how we work and drive measurable value across all processes.</div><div></div><div>
As a Technical Lead in the newly formed AIA team, we are looking for a hands-on solution architect to lead the design and implementation of end-to-end agentic AI solutions at enterprise scale. This role requires expertise across AI architecture, cloud engineering, data platforms, MLOps/LLOps and product thinking. The ideal candidate should be comfortable engaging directly with business stakeholders, translating ambiguous needs into technical solutions, developing MVPs and guiding engineering team toward scalable delivery.</div><div></div><div>
Role Responsibilities</div><div></div><div>
Solution Design &amp; Architecture</div><ul><li><div>
Architect enterprise-grade AI solutions integrating LLMs, RAG, autonomous agents, vector search, orchestration frameworks, APIs and UI layers</div></li></ul><ul><li><div>
Implements scalable E2E AI pipelines- data-&gt; semantic layer-&gt; embeddings-&gt; vector DB-&gt; inference-&gt; monitoring</div></li><li><div>
Own architecture documentation, solutions diagrams and technical decision logs</div></li><li><div>
Act as player coach-able to prototype agents, build POCs and guide engineering teams production systems</div></li></ul><div>
Cross-Functional Collaboration</div><ul><li><div>
Partner with Product Owners, Data Scientists, Engineers, and Business Stakeholders to translate requirements into technical solutions.</div></li></ul><ul><li><div>
Facilitate workshops and design sessions to gather insights and co-create technical solution blueprints.</div></li></ul><ul><li><div>
Ensure integration of AI solutions with existing enterprise systems and data environment. Push boundaries of technical innovation at the enterprise level.</div></li></ul><div>
Technical Leadership &amp; Governance</div><ul><li><div>
Define and enforce architectural standards, best practices, and design patterns for AI and digital health solutions.</div></li></ul><ul><li><div>
Set the standard for and lead technical reviews, risk assessments, and design validations.</div></li></ul><ul><li><div>
Ensure solutions adhere to data privacy, security, and regulatory requirements (e.g., HIPAA, GDPR, ANVISA, COFEPRIS).</div></li><li><div>
Ensure security, scalability, privacy safeguards, hallucination risk control and responsible AI implementation</div></li><li><div>
Establish guardrails for model usage, evaluation metrics, monitoring and fallback plans</div></li></ul><div>
Innovation &amp; Emerging Technologies</div><ul><li><div>
Stay abreast of emerging AI technologies, platforms, and trends relevant to healthcare and life sciences.</div></li></ul><ul><li><div>
Evaluate and prototype new tools (e.g., LLMs, federated learning, edge AI) for potential adoption.</div></li></ul><ul><li><div>
Drive innovation by identifying opportunities for AI to enhance patient outcomes, operational efficiency, and market differentiation.</div></li></ul><ul><li><div>
Documentation &amp; Knowledge Management</div></li></ul><ul><li><div>
Develop and maintain comprehensive architecture documentation, including diagrams, data flows, and technical specifications.</div></li></ul><ul><li><div>
Create reusable solution templates and reference architectures for future projects. Develop platform strategies to empower teams with consistent and re-usable patterns</div></li></ul><ul><li><div>
Contribute to internal knowledge bases and technical communities of practice.</div></li></ul><ul><li><div>
Vendor &amp; Partner Engagement</div></li></ul><ul><li><div>
Assess and manage relationships with external technology vendors, cloud providers, and implementation partners.</div></li></ul><ul><li><div>
Lead technical due diligence and integration planning for third-party AI solutions.</div></li></ul><ul><li><div>
Ensure vendor solutions align with internal architecture and compliance standards.</div></li></ul><div></div><div>
BASIC QUALIFICATIONS</div><ul><li><div>
Bachelor&rsquo;s degree in Computer Science, Engineering, data Science or related field.</div></li><li><div>
9+ years of relevant experience in AI/ML/Data/SaaS engineering roles with 2+ years in architecture capacity</div></li><li><div>
Proven experience in designing and deploying AI solutions in healthcare or regulated industries.</div></li><li><div>
Deep understanding of cloud platforms (e.g., Azure, AWS, GCP), microservices, APIs, and data engineering.</div></li><li><div>
Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch), MLOps, and model lifecycle management.</div></li><li><div>
Hands-on experience with</div></li></ul><ul><li><div>
Data Tech: Snowflake/Kafka/Spark</div></li><li><div>
APIs &amp; Microservices: Python, FastAPI, REST</div></li><li><div>
MLOps/LLMOps: MLflow, Vertex AI</div></li><li><div>
LLMs, RAG, LangGraph/OpenAI</div></li></ul><ul><li><div>
Excellent communication, stakeholder management, and analytical skills.</div></li><li><div>
Strong knowledge of agile methodologies and DevOps practices.</div></li></ul><div>
Preferred Qualifications:</div><ul><li><div>
Master&rsquo;s degree or PhD in Computer Science, Data Science, or related field.</div></li><li><div>
Experience in pharmaceutical or healthcare technology environments.</div></li><li><div>
Experience with Agentic AI frameworks (CrewAI, AutoGen, Hugging Face agents, OpenAI workflows)</div></li><li><div>
Familiarity with compliance standards such as GxP, HIPAA, and data privacy regulations.</div></li><li><div>
Knowledge of enterprise workflow tools &ndash; Salesforce, ServiceNow, SAP, Veeva etc</div></li><li><div>
Demonstrated success in deploying AI or ML solutions in production environments.</div></li></ul><div></div><div>
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</div><div></div>
Information &amp; Business Tech</div><div></div>

Senior Manager, Technical Lead

Search 10000+ Ai solutions lead jobs near you this January. New roles added regularly across leading industries. Apply today.

10000 ai solutions lead jobs NEAR_ME

AI Lead L1

Technology Lead - AI Solutions

Marketing & AI Solutions Manager

Data Scientist Lead L1

Data Scientist Lead L1

KF Deal Lead Quality - LNG

Senior Manager, Technical Lead