ai solution architect

NTT DATA, Inc.

<div>
 
 Make an impact with NTT DATA
 
 
 
 Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion &ndash; it&rsquo;s a place where you can grow, belong and thrive.
 
 
 
 Your day at NTT DATA
 
 
 
 As an AI Solution Architect at NTT Data, you will play a critical role in driving AI‑led growth and transformation across a designated mega account or regional portfolio within the Financial Services and Retail sectors.
 
 
 You will work closely with Client Partners, Sales, Industry Leaders, and senior stakeholders to shape, position, and scale next‑generation AI solutions aligned to enterprise AI strategy. Acting as a trusted advisor to executive clients, you will translate complex business challenges into impactful AI‑enabled outcomes, while serving as a visible voice on AI innovation and responsible AI adoption for both clients and internal teams.
 
 
 
 Key responsibilities:
 
 
 
 <ul>
 <li>
 Define, own, and execute the AI go‑to‑market strategy for assigned mega accounts or regional portfolios within Financial Services and Retail.
 </li>
 <li>
 Build and maintain strong relationships with C‑suite and senior executive stakeholders.
 </li>
 <li>
 Identify, qualify, and shape AI transformation opportunities aligned to client priorities and industry trends.
 </li>
 <li>
 Develop compelling AI value propositions, business cases, and solution narratives that address industry‑specific challenges.
 </li>
 <li>
 Partner with Client Partners, Sales teams, and Industry Leaders to originate, position, and close AI‑driven engagements.
 </li>
 <li>
 Lead and coordinate RFP, RFI, and RFQ responses for AI opportunities, including solution strategy, win themes, proposal development, executive presentations, and stakeholder alignment to maximize deal success.
 </li>
 <li>
 Lead executive‑level presales activities including opportunity shaping, solution design, and proposal positioning.
 </li>
 <li>
 Drive AI pipeline growth, revenue performance, and commercial success across assigned accounts.
 </li>
 <li>
 Contribute to account growth planning and AI sales strategy by identifying new market opportunities, developing pursuit strategies, and positioning differentiated AI solutions that align to client business objectives.
 </li>
 <li>
 Ensure responsible AI principles &mdash; including security, governance, transparency, and human oversight &mdash; are embedded into opportunity framing and solution design.
 </li>
 <li>
 Operate effectively within a matrixed organization, collaborating across business, delivery, and leadership teams.
 
 
 </li>
 </ul>
 
 To thrive in this role, you need to have:
 
 
 
 <ul>
 <li>
 Strong experience developing and executing go‑to‑market strategies for advanced technology or AI‑led solutions.
 </li>
 <li>
 Deep understanding of Generative AI, machine learning, and natural language processing concepts and real‑world use cases.
 </li>
 <li>
 Proven ability to influence senior executives and communicate complex technical concepts in a clear, business‑focused manner.
 </li>
 <li>
 A strong commercial mindset with a proven track record of identifying, shaping, positioning, and closing high-value AI or technology engagements, including executive-level opportunity pursuits and proposal leadership.
 </li>
 <li>
 Experience leading complex RFP, RFI, and proposal responses, coordinating cross-functional teams, and developing compelling solution narratives and win strategies.
 </li>
 <li>
 Familiarity with leading cloud platforms such as Azure, AWS, and GCP.
 </li>
 <li>
 The ability to operate effectively in a fast‑paced, matrixed, and growth‑oriented environment.
 
 
 </li>
 </ul>
 
 Academic qualifications and certifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience in a relevant field.
 
 
 </li>
 </ul>
 
 Required experience:
 
 
 
 <ul>
 <li>
 8&ndash;12 years of professional experience in consulting, professional services, or industry roles, including significant client‑facing responsibility and progressive leadership exposure (e.g., people, program, or account leadership).
 </li>
 <li>
 Minimum of 5 years&rsquo; experience leading or co‑leading AI, data, advanced analytics, or digital transformation initiatives.
 </li>
 <li>
 At least 2 years of hands‑on experience working with Generative AI solutions such as large language models, AI agents, or GenAI‑enabled applications.
 </li>
 <li>
 Minimum of 5 years&rsquo; experience within one or more industry verticals such as Banking, Insurance, Manufacturing &amp; Commercial, Automotive, Healthcare &amp; Life Sciences, or Public Sector, demonstrated through delivery, account ownership, or solution leadership.
 </li>
 <li>
 At least 2 years of experience supporting or leading presales activities including opportunity identification, solution shaping, proposal development, and executive‑level deal reviews.
 </li>
 <li>
 Demonstrated experience leading or significantly contributing to complex RFP, RFI, and proposal responses, including solution architecture, executive presentations, commercial positioning, and stakeholder management.
 
 
 </li>
 </ul>
 
 Workplace type:
 
 
 
 Hybrid Working
 
 
 
 About NTT DATA
 
 
 
 NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune
 
 
 Global 100. We are committed to accelerating client success and positively impacting society through
 
 
 responsible innovation. We are one of the world&rsquo;s leading AI and digital infrastructure providers, with
 
 
 unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
 
 
 application services. Our consulting and industry solutions help organizations and society move
 
 
 confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
 
 
 than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
 
 
 established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
 
 
 year in R&amp;D.
 
 
 
 Equal Opportunity Employer
 
 
 
 NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
 
 
 
 Third parties fraudulently posing as NTT DATA recruiters
 
 
 
 NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an
 
 @nttdata.com
 
 email address. If you suspect any fraudulent activity, please
 
 contact us
 
 .
</div>

AI Solution Architect

<div>About the role:
PwC is rapidly expanding its market leading Responsible AI (RAI) practice in the UK to meet fast growing client demand across all sectors. As a Senior Manager and Responsible AI Solution Architect, you will shape and deliver PwC&rsquo;s Responsible AI, Ethics, Security and Trust agenda. You will lead the architecture and delivery of trusted AI solutions across GenAI and agentic platforms, working at the intersection of engineering, cyber, data, model risk and regulatory compliance. You will help clients move from principles to production by designing secure, governed and observable AI systems. This role offers the opportunity to influence how some of the UK&rsquo;s largest organisations adopt AI responsibly through technical design leadership, assurance-by-design, and scalable governance patterns. 
What your days will look like:
As a Senior Manager and Responsible AI Solution Architect, you will lead the design and delivery of trusted, secure and compliant AI systems across GenAI and emerging agentic platforms. Working across engineering, cyber, data governance and model risk, you will translate Responsible AI principles and regulatory requirements into production ready architectures. This is a hands on technical leadership role shaping how major organisations build, validate and scale AI safely.<ul><li>Architect end-to-end AI / GenAI / agentic solutions (from data and identity through model integration, orchestration, deployment, monitoring and incident response), embedding PwC&rsquo;s &ldquo;Trust by Design&rdquo; architecture patterns to ensure systems are secure, governed, transparent and resilient.</li><li>Develop and mature PwC&rsquo;s &ldquo;Trust by Design&rdquo; reference architectures and patterns for GenAI and agentic AI, embedding:</li><li>safety and policy controls (guardrails, content safety, prompt-hardening),</li><li>transparency and auditability (logging, traceability, lineage),</li><li>privacy and security controls (data minimisation, encryption, key management),</li><li>and human-in-the-loop and escalation mechanisms.</li><li>Translate regulatory, policy, privacy and ethical requirements into concrete technical controls embedded across:</li><li>SDLC and secure-by-design practices,</li><li>data lifecycle and data governance,</li><li>model lifecycle (training, fine-tuning, evaluation, release, monitoring).</li><li>Partner with cyber and resilience specialists to advance AI threat modelling, prompt injection and data exfiltration mitigations, adversarial testing, and model assurance approaches.</li><li>Define and lead AI assurance strategies across testing, validation, monitoring and control effectiveness across classical ML and GenAI.</li><li>Oversee development of test plans and evaluation frameworks including:</li><li>functional performance testing (accuracy/task success),</li><li>safety testing (toxicity, bias, harmful capability),</li><li>robustness testing (adversarial prompts, jailbreak attempts),</li><li>privacy and leakage testing,</li><li>explainability and transparency checks,</li><li>and post-deployment monitoring (drift, incidents, regressions).</li><li>Shape approaches to model validation and independent assurance, including documentation, governance evidence packs, and audit-ready artefacts.</li><li>Act as technical delivery lead / solution architect on flagship engagements, owning architecture decisions, quality, and delivery outcomes.</li><li>Lead multidisciplinary teams across RAI, engineering, cyber, data governance and risk, bringing structure, pace and clarity to complex delivery.</li><li>Codify delivery experience into reusable assets (frameworks, playbooks, accelerators, reference architectures) to scale PwC&rsquo;s methodology and differentiation.</li><li>Contribute to the UK Responsible AI go-to-market strategy, shaping priority offerings, target sectors, alliance motions and client propositions.</li><li>Lead and contribute to technical thought leadership on GenAI, agentic systems, LLM assurance, AI security and governance, staying at the frontier of emerging techniques.</li><li>Mentor and upskill practitioners through internal capability building, training and coaching.</li><li>Build, lead and inspire diverse teams, fostering a culture of ethical innovation, engineering excellence and continuous learning.</li><li>Collaborate with global PwC teams to scale Responsible AI capabilities across the network and share repeatable assets.</li></ul>
This role is for you if you have:<div><ul><li> 
Deep expertise in Responsible AI principles and operating models, including design or assessment of governance/control frameworks aligned to recognised standards (e.g., NIST AI RMF, ISO/IEC 42001).</li><li>Strong understanding of UK/EU AI regulatory landscape (including EU AI Act), data protection, model risk concepts, and AI ethics.</li><li>Proven experience as a solution architect / technical architect designing and implementing enterprise-grade AI systems.</li><li>Strong understanding of GenAI architectures (RAG, tool use, function calling, agents, orchestration patterns), including failure modes and risk controls.</li><li>Hands-on or architecture-level experience with cloud AI platforms and services, ideally across Azure (e.g., Azure AI / Azure OpenAI, Prompt Flow, AML, Purview, Sentinel), AWS (e.g., Bedrock, SageMaker, IAM/KMS, CloudWatch), and other common data platforms, API management, and identity/access patterns.</li><li>Familiarity with AI enabling technologies and ecosystems: vector databases, embedding pipelines, feature stores, model registries, prompt/trace observability, CI/CD for ML/LLM systems.</li><li>Demonstrated ability to design and lead testing and validation approaches for AI systems, including GenAI safety testing, adversarial testing/red teaming, monitoring and incident management.</li><li>Working knowledge of emerging methods such as fine-tuning (e.g. parameter-efficient approaches), evaluation harnesses, and measurement of risk/quality.</li><li>Experience in consulting or industry, including leadership of complex AI/data/analytics/model risk initiatives.</li><li>Strong stakeholder influence: able to advise executives and risk leaders and translate complex technical issues into business and regulatory implications.</li><li>Commercial acumen: experience shaping proposals, leading workstreams, and supporting large engagements alongside Partners.</li></ul></div>
Desirable to have:<div><ul><li> 
Experience with model governance / MRM platforms, GenAI guardrail tools, and LLMOps / observability tooling (prompt/trace evaluation, scoring, monitoring).</li><li>Experience leading or contributing to AI security programmes (threat modelling, prompt injection mitigation, data leakage prevention, secure deployment).</li><li>External thought leadership (publications, speaking, panels) on Responsible/Trustworthy AI.</li><li>Relevant certifications (e.g., ISO lead implementer/auditor) and/or contributions to standards bodies or industry forums.</li></ul></div>
What success looks like in this role:<div><ul><li> 
You can architect a GenAI/agentic solution end-to-end, explain the trade-offs, and embed Trust by Design controls without slowing delivery to a crawl.</li><li>You&rsquo;re comfortable with both platform realities (Azure/AWS services, identity, security, integration, monitoring) and RAI assurance (evidence, testing, validation, governance).</li><li>You can turn lessons learned into repeatable patterns that scale across PwC and across clients.</li></ul></div> 
What you&rsquo;ll receive from us:
No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions.
We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.
Applications close on the 5 of June 2026</div>

Senior Manager, Responsible AI Solution Architect

Cognitive

<div>
 
 We are seeking an experienced
 
 AI Technical Lead / AI Solution Architect
 
 to design and deliver production-grade AI/ML solutions within a government or highly regulated environment.
 
 
 
 
 
 The role combines
 
 hands-on AI engineering, solution architecture, Generative AI expertise and technical leadership
 
 . The successful candidate will define technical solutions, guide implementation, review architecture and code, and technically lead AI delivery teams.
 
 
 
 
 
 Key Requirements
 
 
 
 
 <ul>
 <li>
 Proven hands-on experience
 
 designing and delivering AI/ML solutions into production
 
 .
 </li>
 <li>
 Strong practical knowledge of
 
 Machine Learning, Generative AI/LLMs and Agentic AI
 
 .
 </li>
 <li>
 Strong
 
 Python
 
 development skills, with the ability to prototype, review and guide production AI/ML implementations.
 </li>
 <li>
 Practical experience with
 
 RAG, embeddings, vector search, prompt engineering, tool/function calling, agent orchestration and LLM evaluation
 
 .
 </li>
 <li>
 Strong
 
 AI solution architecture and integration
 
 capabilities, including scalability, security, reliability, performance and cost considerations.
 </li>
 <li>
 Experience designing AI solutions across
 
 public cloud, hybrid, private or sovereign cloud environments
 
 .
 </li>
 <li>
 Strong
 
 Microsoft Azure
 
 experience, ideally including
 
 Azure OpenAI, Azure AI Foundry, Azure AI Search and Azure Machine Learning
 
 .
 </li>
 <li>
 Understanding of
 
 MLOps/LLMOps
 
 , including deployment, evaluation, monitoring, versioning and production lifecycle management.
 </li>
 <li>
 Strong understanding of
 
 AI security, governance, responsible AI, data privacy and data sovereignty
 
 .
 </li>
 <li>
 Experience with modern software engineering practices including
 
 APIs, microservices, containers, Kubernetes and CI/CD
 
 .
 </li>
 <li>
 Proven experience technically leading and mentoring
 
 AI Developers, ML Engineers and Data Scientists
 
 .
 </li>
 </ul>
 
 
 
 
 Technical Stack
 
 
 
 
 
 Experience with relevant technologies across:
 
 
 
 
 <ul>
 <li>
 
 GenAI/LLM:
 
 Azure OpenAI, Azure AI Foundry, OpenAI-compatible APIs, Hugging Face or equivalent.
 </li>
 <li>
 
 RAG &amp; Search:
 
 Azure AI Search, vector databases, embeddings and semantic search.
 </li>
 <li>
 
 Agentic AI:
 
 LangChain, LangGraph, Semantic Kernel, LlamaIndex or equivalent agent frameworks.
 </li>
 <li>
 
 ML/MLOps:
 
 Azure Machine Learning, MLflow or equivalent.
 </li>
 <li>
 
 Cloud &amp; Engineering:
 
 Microsoft Azure, REST APIs, microservices, Docker, Kubernetes, Git and CI/CD.
 </li>
 <li>
 
 Data:
 
 SQL/NoSQL, data pipelines, data lakes/lakehouses; Databricks, Spark or Microsoft Fabric are advantageous.
 </li>
 </ul>
 
 
 
 
 
 Depth of technical capability is more important than experience with every named technology.
 
 
 
 
 
 
 Preferred Experience
 
 
 
 
 <ul>
 <li>
 Government or highly regulated environments.
 </li>
 <li>
 Experience with
 
 data residency, sovereignty, security and regulatory requirements
 
 .
 </li>
 <li>
 AI governance, cybersecurity and responsible AI.
 </li>
 <li>
 Production
 
 MLOps / LLMOps
 
 .
 </li>
 <li>
 
 Computer Vision
 
 .
 </li>
 <li>
 High-volume, scalable or real-time AI solutions.
 </li>
 <li>
 Open-source or self-hosted LLMs.
 </li>
 <li>
 Hybrid, private or sovereign cloud architectures.
 </li>
 </ul>
 
 
 
</div>

AI Technical Lead/AI Solution Architect

malomatia

<div>
 
 Job Description
 
 
 
 To define technical approach to AI agents, orchestration frameworks, and responsible AI practices while working closely with engineering teams, product managers, and business stakeholders to bring cutting-edge AI capabilities to production.
 
 
 
 Responsibilities
 
 
 
 Lead AI solutions design and implementation
 
 
 <ul>
 <li>
 Serve as the primary technical advisor on generative AI initiatives
 </li>
 <li>
 Lead proof-of-concept development and architectural decision records
 </li>
 <li>
 Mentor engineering teams on agentic AI patterns and best practices
 </li>
 <li>
 Evaluate emerging technologies and maintain technical roadmaps
 </li>
 <li>
 Design and architect AI agent systems and multi-agent workflows for enterprise use cases
 </li>
 <li>
 Evaluate and implement agent frameworks including LangGraph, Microsoft Agent Framework, OpenAI Agents SDK, Google Agent-to-Agent (A2A), and emerging standard
 </li>
 <li>
 Architect tool-use patterns, function calling, MCP, and agent-to-agent communication protocols
 </li>
 <li>
 Design for agent observability, debugging, and human-in-the-loop workflows
 </li>
 <li>
 Design retrieval-augmented generation architectures and architect vector database solutions, embedding strategies, implement chunking strategies, hybrid search, and re- ranking approaches for optimal retrieval performance
 </li>
 <li>
 Design knowledge graphs and structured data integration with generative AI systems
 </li>
 <li>
 Lead architecture decisions across cloud AI platforms including Azure AI Foundry, Google Vertex AI, OpenAI APIs, and open-source Gen AI models
 </li>
 <li>
 Design prompt management, versioning, and optimization pipelines
 </li>
 <li>
 Architect for multi-model strategies, model routing, and fallback patterns
 </li>
 <li>
 Establish patterns for cost optimization, latency management, and scaling LLM workloads
 </li>
 <li>
 Define comprehensive evaluation frameworks for LLM applications and agent systems
 </li>
 <li>
 Implement automated evaluation pipelines using frameworks such as RAGAS, DeepEval, and custom evaluation harnesses
 </li>
 <li>
 Establish benchmarks for response quality, factual accuracy, task completion, and user satisfaction
 </li>
 <li>
 Champion responsible AI practices including safety, fairness, transparency, and privacy
 </li>
 <li>
 Implement guardrails, content filtering, and output validation systems
 </li>
 <li>
 Design for prompt injection prevention, data leakage protection, and secure agent execution
 </li>
 <li>
 Ensure compliance with emerging AI regulations and industry standards
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred. Arabic Speaker.
 </li>
 <li>
 8+ years of experience in software engineering or architecture roles
 </li>
 <li>
 3+ years of hands-on experience building LLM-powered applications in production
 </li>
 <li>
 Deep expertise in AI agent architectures, orchestration patterns, and workflow design
 </li>
 <li>
 Strong experience with at least two of the following: LangChain/LangGraph, Microsoft Semantic Kernel/Agent Framework, OpenAI Agents SDK, Google Vertex AI Agent Builder
 </li>
 <li>
 Proven experience designing and implementing Advanced RAG Systems and Agentic AI
 </li>
 <li>
 Proficiency in Python and experience with async programming patterns
 </li>
 <li>
 Hands-on experience with cloud AI platforms (Azure AI Foundry or Google Vertex AI)
 </li>
 <li>
 Strong understanding of Gen AI models&rsquo; fundamentals including prompting, fine-tuning, context windows, and token economics
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience implementing Model Context Protocol (MCP), Google Agent-to-Agent (A2A) protocol, and multi-agent communication patterns
 </li>
 <li>
 Experience building AI Evals pipelines and AI quality assurance systems
 </li>
 <li>
 Knowledge of advanced RAG techniques: query decomposition, multi-hop reasoning, GraphRAG
 </li>
 <li>
 Experience with AI observability tools
 </li>
 <li>
 Background in AI safety, red-teaming, or responsible AI implementation.
 
 
 </li>
 </ul>
 Skills &amp; Competencies
 
 
 <ul>
 <li>
 Systems thinking with ability to design for complexity and emergence in agentic systems
 </li>
 <li>
 Strong communication skills to convey AI concepts to diverse audiences
 </li>
 <li>
 Pragmatic approach balancing innovation with production readiness
 </li>
 <li>
 Ability to rapidly learn evolving AI technologies
 </li>
 <li>
 Commitment to ethical AI development and user safety
 </li>
 <li>
 Collaborative mindset with ability to influence across organizational boundaries
 
 
 </li>
 </ul>
 
 About Malomatia
 
 
 
 
 ABOUT US
 
 
 
 malomatia is a leading Qatar-based IT services and solutions provider, bringing together top Qatari and international talent to deliver innovative, end-to-end technology solutions that empower clients to achieve their strategic goals.
 
 
 
 Our mission
 
 
 
 Empowering Qatar&rsquo;s businesses and governments to leap into the digital future with agile, knowledge-driven solutions.
 
 
 
 Our vision
 
 
 
 To become Qatar&rsquo;s trusted knowledge partner in digital transformation, disrupting industries, shaping the future, and building a world-class tech ecosystem.
 
 
 
 Driving change that makes a real impact
 
 
 
 Since 2008, malomatia has been driving Qatar&rsquo;s digital transformation through innovative, ISO-certified IT solutions. With expertise across key public and private sectors, we empower the nation&rsquo;s vision with advanced services in cloud, cybersecurity, AI, and contact center excellence, elevating the role of technology in shaping Qatar&rsquo;s sustainable future.
 
 
 
 About The Team
 
 
 
 Established in 2008, malomatia is a Qatari leader in IT services and digital transformation. We serve key sectors including Government, Healthcare, Education, Customs, and Transportation, delivering impactful solutions that support national development goals. Powered by a diverse team of skilled Qatari and international IT professionals, we deliver innovative, high-value digital solutions tailored to the unique needs of our clients.
 
 
 Our mission is to inspire customers to thrive through digital excellence, and we envision becoming the trusted partner of choice in building a smarter society through technology and talent. We are driven by core values that define our culture and approach: ownership, integrity, empathy, teamwork, transparency, agility, excellence, trust, and innovation.
 
 
 Join us in shaping the future of technology in Qatar
</div>

Senior Consultant - AI Solution Architect

Artefact

<div>
 
 
 Gemini Director (Agentic AI) &mdash; Artefact Middle East
 
 
 
 
 
 
 Artefact MENA is looking for a client-facing Gemini Director to lead the Gemini Enterprise &amp; Agentic AI offering.
 
 
 
 
 
 This is a hybrid role involving solution architecture, hands-on engineering, technical pre-sales and business development.
 
 
 
 
 
 You'll partner with Artefact leadership, Google Cloud, and senior client stakeholders to spot opportunities, shape solutions, build demos and PoCs, and scale them into production AI programmes.
 
 
 
 
 
 
 What you'll do as the Gemini Director (Agentic AI):
 
 
 <ul>
 <li>
 Identify and shape Gemini Enterprise and agentic AI opportunities across new and existing clients
 </li>
 <li>
 Lead technical discovery sessions, workshops, demos, pitches and PoCs
 </li>
 <li>
 Translate business challenges into AI use cases, solution architectures and implementation roadmaps
 </li>
 <li>
 Design enterprise-grade solutions using Gemini, Vertex AI, AI agents, RAG, tool use and enterprise integrations
 </li>
 <li>
 Build prototypes and production solutions using Python, APIs, SDKs and cloud-native tech
 </li>
 <li>
 Embed evaluation, security, governance, observability and human-approval controls
 </li>
 <li>
 Help clients adopt Gemini Enterprise and AI-assisted development across their engineering lifecycle. Partner closely with Google Cloud on joint accounts, propositions and reusable solutions
 </li>
 <li>
 Support proposals, technical estimations and commercial discussions
 </li>
 <li>
 Turn early PoCs into enterprise-scale AI transformation programmes
 </li>
 </ul>
 
 
 
 
 
 What you bring
 
 
 <ul>
 <li>
 Experience as a GenAI Architect, AI Solution Architect, Lead AI Engineer, Forward Deployed Engineer or AI Solutions Engineer
 </li>
 <li>
 Hands-on track record building enterprise applications with frontier LLMs
 </li>
 <li>
 Strong grasp of agentic AI, RAG, tool use, context engineering, evaluation and LLMOps
 </li>
 <li>
 Solid Python, API integration and cloud engineering skills
 </li>
 <li>
 Experience deploying AI solutions on Google Cloud, AWS or Azure
 </li>
 <li>
 Confidence engaging CIOs, CTOs, CDOs and senior business leaders
 </li>
 <li>
 Background in technical pre-sales, consulting, solution engineering or client-led business development
 </li>
 <li>
 Ability to carry an opportunity from first idea through architecture, prototype and production
 </li>
 <li>
 An entrepreneurial, commercially-minded approach to building a new offering
 </li>
 <li>
 Gemini/Google Cloud experience is a strong plus &mdash; but deep experience with other frontier-model platforms works too
 </li>
 </ul>
 
 
 
 
 
 Success in year one looks like:
 
 Becoming Artefact MENA's go-to technical and commercial leader for Gemini Enterprise and agentic AI &mdash; building a strong pipeline, leading flagship client engagements, and creating reusable Gemini and agentic AI propositions.
 
 
 
 
 
 📍 Middle East | Artefact Middle East
 
 
 
 
</div>

Gemini Director (Agentic AI)

eClerx

<div>Role Overview
We are seeking a Lead Forward Deployed AI Engineer to architect and deliver enterprise-scale AI transformation programs. This role combines deep technical expertise with solution architecture, delivery leadership, and customer engagement to build scalable AI platforms that drive business innovation.
The ideal candidate will be a techno-functional leader with extensive experience in Generative AI, Agentic AI, LLMs, AI platform engineering, enterprise solutioning, and large-scale customer engagements . You will lead technical teams, mentor engineers, and work closely with CXOs and business leaders to deliver AI-powered transformation initiatives.
Key Responsibilities
<ul><li>Lead the design, architecture, and deployment of enterprise AI solutions leveraging Generative AI, Agentic AI, LLMs, RAG, and AI Agents .
</li><li>Partner with clients to define AI strategies, solution roadmaps, and enterprise AI adoption plans.
</li><li>Lead AI solutioning, architecture workshops, and technical discovery sessions.
</li><li>Drive AI-enabled transformation across business operations and Software Development Lifecycle (SDLC).
</li><li>Architect intelligent automation and multi-agent solutions using LangGraph, CrewAI, LangChain, Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise , and similar platforms.
</li><li>Optimize AI platforms for performance, accuracy, scalability, latency, and operational cost .
</li><li>Lead cross-functional engineering teams across AI, Data Science, Platform Engineering, and DevOps.
</li><li>Establish engineering standards, architecture governance, code reviews, and AI best practices.
</li><li>Mentor engineering teams and promote innovation across enterprise AI programs.
</li><li>Support pre-sales, solution consulting, executive presentations, and strategic client engagements.
</li></ul>Required Skills &amp; Qualifications
<ul><li>13+ years of experience in Software Engineering, AI Engineering, Solution Architecture, or Enterprise Technology.
</li><li>Proven experience leading enterprise AI delivery and customer-facing engagements.
</li><li>Strong expertise in LLMs, Agentic AI, Generative AI, RAG, Prompt Engineering, AI Agents, and AI orchestration frameworks .
</li><li>Hands-on experience with LangGraph, CrewAI, LangChain, LlamaIndex , or similar platforms.
</li><li>Strong knowledge of AWS Bedrock, Azure AI Foundry, Google Gemini Enterprise , and enterprise AI ecosystems.
</li><li>Experience building scalable AI platforms using Python, Hugging Face, PyTorch, TensorFlow, and modern AI frameworks.
</li><li>Strong understanding of software architecture, APIs, microservices, distributed systems, and cloud-native development.
</li><li>Experience leading technical teams and mentoring engineers.
</li><li>Excellent communication, stakeholder management, consulting, and client engagement skills.</li></ul></div>

Associate Process Manager

Ipeople Infosysteams LLC

AI Solution DeliveryOnsite / OffshorePune/Bengaluru/ Trivandrum/ HyderabadCandidate must need to work from Infosys office for all 5 days.No Remote.12+ months contract / CTHKey Responsibilities:<ul><li>Use Case Discovery &amp; Prioritization &mdash; Partner with contract lifecycle stakeholders to identify automation and intelligence opportunities (e.g., clause extraction, obligation tracking, renewal prediction, risk scoring, contract summarization).</li><li>Solution Design &mdash; Architect end-to-end AI solutions including data pipelines, model selection (LLM, NLP, ML), integration points, and UX flows that fit within enterprise ecosystem.</li><li>Delivery &amp; Implementation &mdash; Own the build cycle: requirements gathering, prototyping, iteration with users, testing, deployment, and post-launch measurement.</li><li>Stakeholder Enablement &mdash; Translate technical capabilities into business value for non-technical partners; run demos, training sessions, and adoption programs.</li><li>Cross-Functional Coordination &mdash; Work with Legal, Procurement, Sales Ops, IT, and Data Engineering to ensure solutions meet compliance, security, and scalability requirements.</li><li>Continuous Improvement &mdash; Monitor solution performance, gather feedback, and iterate. Stay current on advances in GenAI, NLP, and contract intelligence tooling.</li></ul>QUALIFICATIONS: Experienced in solution delivery, consulting, or product development &mdash; with at least 2 years focused on AI/ML solutions<ul><li>Demonstrated experience with contract management, CLM platforms, or adjacent legal-tech domains</li><li>Strong understanding of LLMs, NLP techniques, and their application to document-heavy workflows</li><li>Ability to translate ambiguous business problems into structured technical requirements</li><li>Experience working in matrixed, cross-functional environments (Sales, Legal, Finance, Engineering)</li><li>Excellent communication skills &mdash; comfortable presenting to senior leadership and working with individual contributors alike</li></ul>Swapnil ThakurRecruitment &amp; Delivery LeadiPeople Infosystems LLCContact No: +91 7972726448Email ID: swapnil.t@ipeopleinfosystems.comPay: ₹1,500,000.00 - ₹2,200,000.00 per yearWork Location: In person

AI/ML Engineer

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