ai engineering lead

Prudential Plc

<div>Prudential&rsquo;s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people&rsquo;s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
We are seeking an AI Engineer to join the DPS Engineering team, embedded within a cross-functional product delivery squad. This role will focus on designing, building, and deploying AI-driven capabilities that enhance product features, improve operational efficiency, and support data-driven decision-making.
The individual will work closely with product managers, engineers, and domain experts to translate business requirements into scalable AI solutions, ensuring seamless integration into production systems.
AI Solution Development
<ul><li>Design, develop, and deploy machine learning and AI models (e.g., NLP, predictive analytics, GenAI use cases) aligned with product objectives
</li><li>Translate business problems into AI/ML solutions with clear success metrics
</li></ul>Product Integration
<ul><li>Embed AI capabilities into product features and workflows within the delivery squad
</li><li>Collaborate with backend/frontend engineers to ensure scalable and reliable deployment
</li></ul>Model Lifecycle Management
<ul><li>Build and maintain end-to-end ML pipelines (data ingestion, training, evaluation, deployment, monitoring)
</li><li>Ensure continuous improvement through model retraining and performance tuning
</li></ul>Data &amp; Engineering Collaboration
<ul><li>Work with data engineers to define data requirements, pipelines, and data quality standards
</li><li>Ensure proper feature engineering and dataset governance
</li></ul>Risk, Governance &amp; Responsible AI
<ul><li>Ensure AI solutions comply with enterprise standards on security, privacy, and responsible AI usage
</li><li>Document models, assumptions, and limitations clearly
</li></ul>Job Qualification
<ul><li>Strong experience in Python and AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
</li><li>Experience with GenAI / LLMs (e.g., prompt engineering, RAG architectures, API-based models)
</li><li>Familiarity with MLOps practices (CI/CD, model deployment, monitoring)
</li><li>Experience working with cloud platforms (Azure preferred, AWS/GCP acceptable)
</li><li>Knowledge of data engineering concepts (SQL, data pipelines, APIs)
</li><li>Proven track record of delivering AI solutions in production environments
</li><li>Experience working in agile, squad-based delivery models
</li><li>Strong problem-solving mindset with a focus on business impact
</li><li>Ability to work in fast-paced, iterative delivery environments
</li><li>Effective collaboration across engineering, product, and business teams
</li><li>Curiosity and drive to continuously learn emerging AI technologies 
</li></ul>Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.</div><div></div>

AI Engineering Lead

International Rescue Committee

<div>The International Rescue Committee (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future.
The International Rescue Committee (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people worldwide for a better future.
Background:
Build the AI systems that will reach hundreds of millions of people in the world's hardest places.
Nearly 240 million people will need humanitarian aid in 2026, and global funding has fallen by more than half. Closing that gap demands a different kind of humanitarian organization &mdash; one that uses AI to multiply what frontline workers can do, reaches people before crises hit, and brings diagnostic and decision-support tools to places the technology industry has historically ignored.
The International Rescue Committee (IRC) is already one of the most ambitious AI-deploying humanitarian organizations in the world. We are working on dozens of AI initiatives across 30+ countries: agentic systems serving millions of displaced people through Signpost; anticipatory action models that deliver aid in advance of a disaster; pocket-sized AI diagnostics and AI teaching mentors. We have strategic partnerships with AI partners and a portfolio of programs ready to scale.
We are hiring a Head of AI Engineering to lead the technical team that builds these systems &mdash; and to help shape what we build next.
Job Overview:
This is a senior technical leadership role for someone who wants to build at the frontier of applied AI in service of humanitarian impact. You will lead a team of engineers and AI specialists designing and shipping AI-powered, program-facing solutions &mdash; primarily agentic systems, predictive analytics, and AI diagnostics deployed in low-resource and high-stakes settings.
You will own three things:
Technical strategy and direction for IRC's program-facing AI portfolio. You will help translate IRC's AI ambitions into a clear technical roadmap, make build-vs-buy-vs-partner decisions, and set the architectural direction for systems that need to work reliably in some of the hardest operating environments on earth &mdash; including AI that runs offline on low-cost smartphones, agentic systems with high safety standards, and diagnostic models trained on populations the major datasets ignore.
A high-performing engineering team. You will manage and grow a team of engineers, applied AI engineers, and QA specialists; raise the bar on engineering quality; and build the kind of culture that attracts top technical talent to mission-driven work.
Deep partnership with program leaders and strategic partners. You will be a true thought partner to IRC's program experts in health, education, protection, resettlement, and emergency response &mdash; co-designing solutions with them rather than receiving requirements. You will also help us get maximum value from our flagship partnerships with Anthropic, OpenAI, and other frontier labs, with direct access to frontier models, early features, and the researchers building them.
Major Responsibilities
AI Strategic Leadership<ul><li>
Translate IRC's AI strategy and program priorities into a prioritized technical roadmap, in close partnership with program leaders, the SVP for Research, Innovation, AI, and People &amp; Culture, and the T4P demand pipeline.</li><li>
Stay at the edge of AI/ML advances &mdash; particularly in agentic systems, multimodal models, and edge/on-device inference &mdash; and bring promising approaches to IRC's programs.</li><li>
Serve as a core member of IRC's AI leadership, helping shape organizational direction alongside the SVP for Research, Innovation, AI, and People &amp; Culture and other senior leaders.</li><li>
Champion responsible, human-centered AI deployment in some of the most sensitive humanitarian contexts in the world, with the safety standards those contexts demand.</li><li>
Represent IRC in technical discussions with partners, peer organizations, donors, and the broader humanitarian and AI sectors.</li></ul>
Team Leadership and Management<ul><li>
Manage and develop a team of engineers, applied AI engineers, and QA specialists. Hire well, raise the bar, and build a culture that strong technical people want to be part of.</li><li>
Establish engineering quality standards, development practices, and documentation protocols.</li><li>
Maintain a prioritized backlog of program innovations and manage team capacity against demand.</li><li>
Mature the team's AI development and DevOps practices and grow stakeholder buy-in across the organization.</li><li>
Identify opportunities to secure budget resources in support of innovation priorities.</li></ul>
Cross-functional Partnership<ul><li>
Act as a genuine thought partner to program leaders &mdash; bringing AI fluency to their problems and humility about the field realities</li><li>
Co-design solutions that actually work in the field, not technology-first answers in search of problems.</li><li>
Partner with the Enterprise Applications team to ensure smooth handoffs of proven innovations for enterprise-wide scale-up.</li><li>
Coordinate with the Enterprise Applications DevOps team on integration touchpoints, infrastructure dependencies, and shared engineering standards.</li></ul>
Flagship AI Partnerships<ul><li>
Serve as the technical lead on IRC's strategic partnerships with frontier AI organizations &mdash; helping turn early relationships into long-term, high-leverage collaborations.</li><li>
Identify where partnership access (compute, frontier models, technical expertise) can unlock outsized program impact.</li></ul>
Solution Design and Engineering<ul><li>
Lead the design and development of AI-driven and program-specific technology solutions, owning the full development lifecycle from requirements through handoff.</li><li>
Interface with program and business stakeholders to gather requirements, define technical solutions, and recommend approaches grounded in a detailed understanding of program goals.</li><li>
Design and oversee high-availability architectures in Microsoft Azure, incorporating appropriate redundancy, security, backup, and recovery strategies &mdash; including for sensitive humanitarian data.</li><li>
Research and recommend technology products, services, and standards &mdash; particularly in AI/ML &mdash; to support procurement, development, and strategic decision-making.</li></ul>
DevOps and Engineering Operations<ul><li>
Oversee deployment pipelines, CI/CD automation, infrastructure-as-code, and QA processes to ensure efficient and reliable software delivery.</li><li>
Ensure ongoing availability and performance of applications through monitoring, scaling, and proactive operations management.</li><li>
Track and optimize cloud and model-inference costs.</li><li>
Maintain technical and policy documentation for all assets under the team's management.</li></ul>
Key Working Relationships<ul><li>
Position Reports to: Chief Information Officer, working in close partnership with the SVP for Research, Innovation, AI, and People &amp; Culture</li><li>
Position directly supervises: Engineers, applied AI engineers, ML specialists, and QA staff on the T4P Development team.</li><li>
Other internal contacts: Program leaders across CRRD, RAI, R&amp;I, and Signpost; the Enterprise Applications and DevOps teams; the AI governance and policy team; AI@Scale (I@S) leadership; IT leadership across regions and HQ.</li><li>
External contacts: Strategic partners with leading AI organizations; technology vendors; AI sector peers; NGO tech community; major foundation funders.</li></ul>
Job Requirements
Strong candidates will bring most &mdash; not necessarily all &mdash; of the following:
AI and engineering depth<ul><li>
Hands-on experience building and shipping production AI systems &mdash; agentic frameworks, LLM applications, RAG systems, computer vision, or applied ML pipelines.</li><li>
Solid full-stack foundation (Python, JavaScript/TypeScript, and modern frameworks) with the technical credibility to engage directly with engineers on architecture and design decisions.</li><li>
Experience with cloud architecture (Azure preferred; AWS/GCP transferable), including AI services, DevOps pipelines, and cost-effective scaling.</li><li>
Working knowledge of data security and privacy practices for sensitive or personally identifiable information.</li></ul>
Leadership and collaboration<ul><li>
7&ndash;10+ years in software engineering or technical product development, with 3+ years leading engineers as a manager or tech lead.</li><li>
A track record of building or growing strong engineering teams &mdash; hiring, raising the bar, and creating a culture people want to be part of.</li><li>
Ability to engage non-technical leaders as a peer: explaining trade-offs clearly, listening well, and translating between worlds.</li><li>
Comfort operating across global teams, time zones, and contexts very different from your own.</li></ul>
Mindset<ul><li>
Genuinely motivated by humanitarian impact</li><li>
Leads with humility. Deep respect for the people closest to the problem, including those without technical backgrounds.</li><li>
Technically curious and forward-looking &mdash; reads, experiments, and brings new ideas to the team.</li></ul>
Nice to have<ul><li>
Experience deploying AI in low-resource, low-bandwidth, or offline contexts.</li><li>
Prior work with humanitarian, development, or global health organizations.</li><li>
French or Arabic language skills.</li></ul>
Working Environment
Standard office work environment; hybrid/remote available. Some travel may be required for partner meetings, field engagement, and sector conferences.
Compensation: (US Pay Rate: 185,000-200,000 USD); (UK Pay Rate: 87,000-100,000 GBP) Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience and skills relative to the defined job requirements. 
Professional Standards: All International Rescue Committee workers must adhere to the core values and principles outlined in IRC Way - Standards for Professional Conduct. Our Standards are Integrity, Service, Equality and Accountability. In accordance with these values, the IRC operates and enforces policies on Safeguarding, Conflicts of Interest, Fiscal Integrity, and Reporting Wrongdoing and Protection from Retaliation. IRC is committed to take all necessary preventive measures and create an environment where people feel safe, and to take all necessary actions and corrective measures when harm occurs. IRC builds teams of professionals who promote critical reflection, power sharing, debate, and objectivity to deliver the best possible services to our clients. 
Cookies: https://careers.rescue.org/us/en/cookiesettings 
Equal Opportunity Employer: IRC is an Equal Opportunity Employer. IRC considers all applicants on the basis of merit without regard to race, sex, color, national origin, religion, sexual orientation, age, marital status, veteran status, disability or any other characteristic protected by applicable law.</div>

Head of AI & Program Technology Engineering

WSP in the Middle East

<div>
 
 Job Description
 
 
 
 WSP Middle East is seeking an experienced AI Business Partner to work in direct partnership with the Property &amp; Buildings (P&amp;B) Business Unit leadership. This senior role sits at the intersection of design, engineering, and applied intelligence, driving the integration of emerging technologies into core business and project delivery processes.
 
 
 The successful candidate will combine deep architectural or engineering expertise with the ability to apply AI, computational design, and digital tools to deliver measurable performance improvements across major programmes.
 
 
 As the single point of accountability for the P&amp;B AI agenda, you will define priorities, lead delivery, and embed scalable solutions that enhance design quality, operational efficiency, and client outcomes.
 
 
 
 Responsibilities
 
 
 
 
 Strategic Partnership &amp; Leadership
 
 
 
 <ul>
 <li>
 Act as the dedicated AI Business Partner to P&amp;B leadership across the Middle East.
 </li>
 <li>
 Develop and maintain a clear AI and digital roadmap aligned to business priorities and project demands.
 </li>
 <li>
 Provide informed, experience-led advisory to senior stakeholders on opportunities, risks, and investment decisions.
 
 
 
 </li>
 </ul>
 
 Use Case Development &amp; Value Realisation
 
 
 
 <ul>
 <li>
 Identify and prioritise high-impact use cases across the full project lifecycle&mdash;from concept design to delivery.
 </li>
 <li>
 Build structured business cases with clear KPIs, ROI, and measurable outcomes.
 </li>
 <li>
 Maintain a transparent pipeline from opportunity identification through to scaled deployment.
 
 
 
 </li>
 </ul>
 
 Computational Design &amp; Technical Enablement
 
 
 
 <ul>
 <li>
 Lead the integration of AI and computational design approaches into project workflows.
 </li>
 <li>
 Drive AI adoption within tools including Revit, Dynamo, Rhino, Grasshopper, AutoCAD, and Power BI to support data-driven design.
 </li>
 <li>
 Promote a culture of continuous improvement and innovation within design and engineering teams.
 
 
 
 </li>
 </ul>
 
 Delivery &amp; Change Management
 
 
 
 <ul>
 <li>
 Oversee the end-to-end implementation of AI solutions within live project environments.
 </li>
 <li>
 Ensure solutions are practical, scalable, and adopted effectively by multidisciplinary teams.
 </li>
 <li>
 Lead change management efforts to embed new ways of working across large programmes.
 
 
 
 </li>
 </ul>
 
 Governance, Risk &amp; Compliance
 
 
 
 <ul>
 <li>
 Establish and maintain governance frameworks for AI deployment within P&amp;B.
 </li>
 <li>
 Ensure adherence to WSP standards relating to data security, intellectual property, and risk management.
 </li>
 <li>
 Support client engagement on responsible and ethical use of AI technologies.
 
 
 
 </li>
 </ul>
 
 Performance Tracking &amp; Reporting
 
 
 
 <ul>
 <li>
 Track and report on performance, benefits, and adoption of AI initiatives.
 </li>
 <li>
 Provide clear, executive-level reporting aligned to business outcomes.
 </li>
 <li>
 Continuously refine strategy based on performance insights and evolving requirements.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Degree in Architecture, Engineering, or a related discipline; professional accreditation (e.g. RIBA, ARB) is advantageous.
 </li>
 <li>
 Minimum 10 years&rsquo; experience within a Design Manager, Architect, or equivalent role, delivering large-scale projects.
 </li>
 <li>
 Strong understanding of multidisciplinary engineering principles within the built environment.
 </li>
 <li>
 Proven experience managing complex, multi-stakeholder programmes.
 </li>
 <li>
 Demonstrated ability to influence senior stakeholders and drive strategic initiatives.
 </li>
 <li>
 Experience delivering digital, data-driven, or AI-enabled solutions within the AEC sector.
 </li>
 <li>
 Strong regional experience within the Middle East market.
 
 
 
 </li>
 </ul>
 
 Technical Capability
 
 
 
 <ul>
 <li>
 Proficiency in BIM and computational design tools (Revit, Dynamo, Grasshopper, Rhino).
 </li>
 <li>
 Understanding of data workflows, automation, and emerging AI capabilities within design and engineering contexts.
 
 
 
 </li>
 </ul>
 
 Desirable Experience
 
 
 
 <ul>
 <li>
 Exposure to Generative AI, advanced analytics, and automation platforms.
 </li>
 <li>
 Familiarity with project delivery systems such as P6, Aconex, ACC, and Power BI.
 </li>
 <li>
 Experience working within structured enterprise governance environments.
 </li>
 <li>
 Background in digital engineering, BIM leadership, or design technology roles.
 
 
 
 </li>
 </ul>
 Imagine a better future for you and a better future for us all.
 
 
 Join our close-knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world.
 
 
 
 With us, you can. Apply today.
 
</div>

AI Business Partner – Property & Buildings

Robots & Pencils

<div>
 
 This position will be onsite in Houston 50% of the time.
 
 
 
 We&rsquo;re looking for a Staff AI Engineer to lead the design and delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical leadership across the team.
 
 
 In this role, you will work as a key technical leader on a cross-functional team, defining AI architecture, leading model development and optimization, and solving challenging integration problems. You&rsquo;ll be joining real, in-flight work where reliability, security, and scalability are critical. You&rsquo;ll establish engineering standards, raise the bar on how we build AI systems, and contribute to the technical decisions that shape how our AI work scales over time.
 
 
 
 Why This Role Matters
 
 
 
 At Robots &amp; Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate.
 
 
 Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Craft &amp; Delivery
 
 
 
 <ul>
 <li>
 Lead the design and implementation of complex ML/AI systems end-to-end, owning architecture decisions and driving solutions from research through production at scale
 </li>
 <li>
 Build and evolve scalable ML platforms, pipelines, and infrastructure that support reliable, repeatable model development and deployment across teams
 </li>
 <li>
 Set the standard for AI-forward engineering, using tools like Claude and Cursor with sophistication and helping the team adopt them effectively
 
 
 </li>
 </ul>
 
 Collaboration &amp; Communication
 
 
 
 <ul>
 <li>
 Partner with product, engineering, and leadership to shape AI strategy and align technical direction with business outcomes
 </li>
 <li>
 Translate complex AI tradeoffs, risks, and opportunities into clear narratives that drive decision-making across technical and non-technical stakeholders
 </li>
 <li>
 Lead design reviews and technical discussions, raising the bar for engineering rigor and constructive challenge across the team
 
 
 </li>
 </ul>
 
 Leadership &amp; Influence
 
 
 
 <ul>
 <li>
 Define AI architecture and engineering standards, bringing depth on tradeoffs, long-term implications, and responsible AI practices
 </li>
 <li>
 Mentor and grow junior and mid-level engineers, multiplying impact through coaching, code reviews, and pairing on hard problems
 </li>
 <li>
 Take ownership of the most ambiguous and highest-stakes pieces of work, driving them through to production with care for reliability, cost, and safety
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 7+ years professional software engineering experience, with 4+ years focused on AI/ML systems in production and deep hands-on experience with generative AI development
 </li>
 <li>
 Expert software engineering background (Python or similar) with strong design sensibilities for scalable, maintainable systems
 </li>
 <li>
 Deep expertise with cloud platforms, including in-depth understanding of AWS services and AWS GenAI offerings
 </li>
 <li>
 Proven track record designing and shipping complex agentic systems in production environments
 </li>
 <li>
 Mastery of AI frameworks and orchestration tools
 </li>
 <li>
 Strong experience with evaluation frameworks and observability tools for LLM apps, including building these capabilities where they don't yet exist
 </li>
 <li>
 Deep understanding of AI safety, responsible AI principles, prompt injection defenses, and PII handling
 </li>
 <li>
 Extensive experience building RAG pipelines: chunking strategies, embedding models, vector databases, and advanced retrieval techniques
 </li>
 <li>
 API design experience, including architecting and integrating with internal and third-party services at scale
 </li>
 <li>
 Advanced cost optimization expertise: token economics, caching strategies, model routing, quantization
 </li>
 <li>
 Strong working knowledge of Docker and Kubernetes for containerized deployments
 </li>
 <li>
 Demonstrable, day-to-day usage and expert knowledge of AI-forward coding tools such as Claude Code and Cursor
 
 
 </li>
 </ul>
 The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $
 
 $177,375 &ndash; $209,625 USD
 
 .  We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.
 
 
 An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission.  We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.
</div>

Staff AI Engineer

flamingo infinite

AI SOLUTIONS DELIVERY MANAGER &ndash; AGENTIC AIExperience: 5+ Years | Location: Navi Mumbai | Industry: BPO / AI / Automation Reports To: CTOROLEWe are looking for an AI Solutions Delivery Manager who can understand client business processes, identify opportunities for Agentic AI/GenAI, and lead solutions from discovery through deployment.The role will be the key link between Client &rarr; Business Operations &rarr; AI/Technology Teams.KEY RESPONSIBILITIES<ul><li>Lead client discovery, process assessment and As-Is/To-Be process mapping.</li><li>Identify and define opportunities for Agentic AI, GenAI and intelligent automation.</li><li>Translate business requirements into AI solution requirements, workflows and implementation plans.</li><li>Work with AI engineers, developers, architects and integration teams to deliver solutions.</li><li>Manage end-to-end delivery &mdash; design, development, integration, UAT, deployment and stabilization.</li><li>Coordinate integrations with CRM, telephony/CCaaS, APIs, databases and workflow platforms.</li><li>Own project timelines, risks, dependencies, deliverables and client communication.</li><li>Track business outcomes such as automation, productivity, AHT/TAT, quality and cost savings.</li><li>Drive continuous improvement and identify additional AI opportunities within client operations.</li></ul>MUST-HAVE<ul><li>5+ years in AI/automation, technology consulting, digital transformation, solution delivery or project management.</li><li>Strong client-facing consulting and process-mapping experience.</li><li>Practical understanding of GenAI, Agentic AI, LLMs and AI workflows.</li><li>Ability to convert business requirements into practical technology solutions.</li><li>Experience working with cross-functional AI/technology teams.</li><li>Good understanding of APIs, system integration and enterprise applications.</li><li>Excellent communication, presentation and stakeholder-management skills.</li></ul>PREFERRED<ul><li>BPO / Contact Center / Healthcare / RCM / BFSI experience.</li><li>Experience implementing AI solutions for voice, chat, email or back-office processes.</li><li>Knowledge of RAG, prompt engineering, AI orchestration and conversational AI.</li><li>Experience with US/international clients.</li></ul>Someone who can:Understand the Process &rarr; Identify AI Opportunity &rarr; Solution &rarr; Deliver &rarr; Measure ROIEDUCATIONBachelor's degree in Engineering, IT, Computer Science, Business or related field. MBA / AI qualification is an advantage.If interested revert with updated CVRegardsPay: ₹1,000,000.00 - ₹1,500,000.00 per yearBenefits:<ul><li>Provident Fund</li></ul>Work Location: In person

AI Solutions Delivery Manager – Agentic AI

<div>
 
 Job Description
 
 
 
 WSP Middle East are seeking an experienced
 
 AI Business Partner &ndash; Shared Services
 
 to lead the strategic transformation of core operational functions through the application of AI, automation, and advanced analytics.
 
 
 This is a senior, delivery-focused role responsible for identifying, prioritising, and implementing AI-driven solutions across Shared Services&mdash;including Finance, HR, Procurement, IT, and Legal. The role operates at a regional level, while aligning with global strategies, platforms, and standards to ensure consistency and scalability across WSP.
 
 
 In parallel, the role will lead the AI capability and learning agenda across the organisation, ensuring that teams across all functions are equipped to adopt and apply AI effectively in their day-to-day work.
 
 
 This position requires a hands-on leader with strong finance transformation experience, combined with the ability to operate across multiple functions and drive outcomes at scale.
 
 
 
 Responsibilities
 
 
 
 
 Strategic Partnership &amp; Transformation Leadership
 
 
 
 <ul>
 <li>
 Partner with Shared Services and business unit leadership to define and deliver a clear AI-enabled transformation roadmap.
 </li>
 <li>
 Translate operational and functional challenges into structured, high-impact AI use cases aligned to business priorities.
 </li>
 <li>
 Build and manage a pipeline of initiatives from identification through to deployment and scale.
 </li>
 <li>
 Ensure regional solutions are aligned with global platforms, governance, and technology standards.
 </li>
 <li>
 Represent Shared Services within enterprise AI governance and transformation forums.
 
 
 
 </li>
 </ul>
 
 Finance Transformation &amp; Intelligent Operations
 
 
 
 <ul>
 <li>
 Lead the application of AI across core Finance processes
 </li>
 <li>
 Drive improvements through AI-led automation, predictive analytics, anomaly detection, and intelligent workflows.
 </li>
 <li>
 Enable a transition towards forward-looking, insight-driven finance operations, reducing dependency on manual processes.
 </li>
 <li>
 Ensure all initiatives are aligned with audit, compliance, and internal control requirements.
 </li>
 <li>
 Embed value tracking and performance discipline across all Finance-focused initiatives.
 
 
 
 </li>
 </ul>
 
 AI Capability &amp; Learning Enablement
 
 
 
 <ul>
 <li>
 Lead the development and rollout of AI capability programmes across WSP Middle East, delivered through Shared Services and applied across all business units.
 </li>
 <li>
 Develop role-based learning pathways that move beyond awareness into practical application and adoption.
 </li>
 <li>
 Create toolkits, guidance, and enablement frameworks that embed AI into everyday workflows.
 </li>
 <li>
 Establish communities of practice and champion networks to drive sustained capability growth.
 </li>
 <li>
 Integrate AI learning into onboarding, development, and performance frameworks.
 </li>
 <li>
 Track adoption, capability uplift, and business impact, continuously refining the approach.
 
 
 
 </li>
 </ul>
 
 AI Delivery &amp; Implementation
 
 
 
 <ul>
 <li>
 Lead end-to-end delivery of AI initiatives&mdash;from business case through to deployment and value realisation.
 </li>
 <li>
 Drive adoption of Generative AI, RPA, process mining, intelligent document processing, and advanced analytics across Shared Services
 </li>
 <li>
 Ensure solutions are scalable, secure, and aligned with enterprise architecture and data standards.
 </li>
 <li>
 Coordinate delivery across multi-country, matrixed environments, balancing local needs with global alignment.
 
 
 
 </li>
 </ul>
 
 Change Management &amp; Adoption
 
 
 
 <ul>
 <li>
 Ensure strong adoption of AI solutions through structured change and engagement approaches.
 </li>
 <li>
 Lead communication strategies, stakeholder alignment, and behavioural change initiatives.
 </li>
 <li>
 Build organisational confidence in AI as a practical enabler of day-to-day work.
 
 
 
 </li>
 </ul>
 
 Governance, Risk &amp; Performance
 
 
 
 <ul>
 <li>
 Establish governance aligned with Finance, Audit, and Shared Services requirements.
 </li>
 <li>
 Ensure compliance with data privacy, regulatory, and intellectual property standards.
 </li>
 <li>
 Define and track KPIs, benefits realisation, and programme performance.
 </li>
 <li>
 Deliver clear, executive-level reporting on outcomes and progress.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Minimum 12 years&rsquo; experience in business or finance transformation, with clear delivery accountability.
 </li>
 <li>
 Strong track record in Finance transformation, including implementation of AI, automation, or data-driven solutions.
 </li>
 <li>
 Degree in Finance, Accounting, Business, or related discipline; professional qualification (CPA, ACCA, CIMA, CFA) preferred.
 </li>
 <li>
 Deep understanding of Finance operations, controls, and performance management.
 </li>
 <li>
 Experience working within Shared Services, GBS, or similar operating models.
 </li>
 <li>
 Experience delivering capability or learning programmes linked to digital or AI adoption.
 </li>
 <li>
 Strong stakeholder management, with the ability to engage senior leadership and operational teams.
 </li>
 <li>
 Experience working in regional roles with global alignment requirements.
 </li>
 <li>
 Hands-on approach with accountability for delivery, adoption, and outcomes
 </li>
 <li>
 Experience with AI and automation platforms (e.g. Microsoft Copilot, Power Automate, UiPath or equivalent).
 </li>
 <li>
 Strong understanding of data and analytics tools (Power BI, Tableau).
 </li>
 <li>
 Exposure to process mining and workflow optimisation tools.
 </li>
 <li>
 Knowledge of ERP systems (SAP, Oracle, or equivalent).
 </li>
 <li>
 Understanding of data governance, security, and compliance within Finance environments
 </li>
 <li>
 Background in a professional services, engineering, or consulting environment.
 </li>
 <li>
 Exposure to AI applications across HR, Procurement, IT, or Legal functions.
 </li>
 <li>
 Familiarity with Middle East operating environments.
 </li>
 <li>
 Experience in operating model or Shared Services transformation.
 
 
 
 </li>
 </ul>
 
 Technical Capability
 
 
 
 <ul>
 <li>
 Experience with AI and automation platforms (e.g. Microsoft Copilot, Power Automate, UiPath or equivalent).
 </li>
 <li>
 Strong understanding of data and analytics tools (Power BI, Tableau).
 </li>
 <li>
 Exposure to process mining and workflow optimisation tools.
 </li>
 <li>
 Knowledge of ERP systems (SAP, Oracle, or equivalent).
 </li>
 <li>
 Understanding of data governance, security, and compliance within Finance environments
 
 
 
 </li>
 </ul>
 
 Desirable Experience
 
 
 
 <ul>
 <li>
 Background in a professional services, engineering, or consulting environment.
 </li>
 <li>
 Exposure to AI applications across HR, Procurement, IT, or Legal functions.
 </li>
 <li>
 Familiarity with Middle East operating environments.
 </li>
 <li>
 Experience in operating model or Shared Services transformation.
 
 
 
 </li>
 </ul>
 
 Why Join WSP
 
 
 
 WSP is a leading global professional services firm, delivering advisory, design, and engineering solutions across the built environment.This role offers the opportunity to shape how AI is applied across core business operations, improving efficiency, strengthening decision-making, and building long-term organisational capability across the region.
 
 
 Imagine a better future for you and a better future for us all.
 
 
 Join our close-knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world.
 
 
 
 With us, you can. Apply today.
 
</div>

Artificial Intelligence (AI) Business Partner – Shared Services

Agilisium Consulting

<div>
 
 
 Required Qualifications
 
 
 
 We&rsquo;re looking for someone with:
 
 <ul>
 <li>
 
 5+ years
 
 of experience in data architecture, with a focus on AI/ML-enabled systems.
 </li>
 <li>
 Hands-on experience with
 
 Generative AI models
 
 (e.g., OpenAI GPT, BERT, or similar), including fine-tuning and deployment.
 </li>
 <li>
 Proficiency in
 
 data engineering tools and frameworks
 
 , such as Apache Spark, Hadoop, and Kafka.
 </li>
 <li>
 Deep knowledge of
 
 database systems
 
 (SQL, NoSQL) and
 
 cloud platforms
 
 (AWS, Azure, GCP), including their AI/ML services (e.g., AWS Sagemaker, Azure ML, GCP Vertex AI).
 </li>
 <li>
 Strong understanding of
 
 data governance
 
 ,
 
 MLOps
 
 , and
 
 AI model lifecycle management
 
 .
 </li>
 <li>
 Experience with programming languages such as
 
 Python
 
 or
 
 R
 
 and frameworks like
 
 TensorFlow
 
 or
 
 PyTorch
 
 .
 </li>
 <li>
 Excellent problem-solving and
 
 communication skills
 
 , with a demonstrated ability to lead cross-functional teams.
 </li>
 </ul>
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Familiarity with
 
 LLM fine-tuning
 
 ,
 
 prompt engineering
 
 , and
 
 embedding models
 
 .
 </li>
 <li>
 Strong domain expertise in Life Science Industry
 </li>
 <li>
 Experience integrating generative AI solutions into production-level applications.
 </li>
 <li>
 Knowledge of
 
 vector databases
 
 (e.g., Pinecone, Weaviate) for storing and retrieving embeddings.
 </li>
 <li>
 Expertise in
 
 APIs for AI models
 
 , such as OpenAI API or Hugging Face Transformers.
 </li>
 </ul>
</div>

Artificial Intelligence Engineer

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