automation architect

Ericsson

<div><div><div><div><h2 class="jobSectionHeader"><b>Join our Team</b></h2>
</div><div><p><b>
About This Opportunity</b></p><p>
We are now looking for an Automation Architect to design and implement automation solutions that streamline processes, improve efficiency, and support Ericsson&rsquo;s strategic delivery goals. You will be a part of the BCSS Service Line Operate Service Management Service Architecture team, collaborating with cross-functional stakeholders and contributing to Ericsson's automation strategy by creating scalable, reusable, and impactful automation designs.</p><p></p><p><b><br>
What You Will Do</b></p><ul><li>
Collaborate with cross-functional teams to understand business requirements and translate them into effective automation solutions.</li><li>
Develop robust and scalable high-level architectures meeting customer and business needs.</li><li>
Design reusable frameworks and modules to improve delivery speed and reusability across units.</li><li>
Lead use case creation discussions using data analysis to drive automation penetration.</li><li>
Analyze customer requirements and optimize scenarios for efficient infrastructure use.</li><li>
Engage in Automation, Analytics, and AI/ML-related solution roadmaps.</li><li>
Ensure systematic validation and repeatability in automation outcomes.</li><li>
Participate in code reviews, documentation, and testing.</li><li>
Mentor and provide technical guidance to team members.</li><li>
Stay updated with emerging trends in automation and advocate industry best practices.</li></ul><p></p><p><b><br>
What You Bring</b></p><ul><li>
Degree in Engineering or Equivalent (ECE/CSE/IT) or MBA.</li><li>
6+ years in automation architecture.</li><li>
Strong expertise in software architecture, design patterns, and object-oriented design.</li><li>
Experience working with automation frameworks/tools (e.g., Selenium, Jenkins, Ansible, UiPath, Automation Anywhere).</li><li>
Java programming expertise, with proficiency in Python, Groovy, or C++.</li><li>
Familiarity with AI/ML or data science concepts.</li><li>
Experience with UNIX/Linux platforms, databases (SQL/PLSQL), scripting languages, and web technologies.</li><li>
Telecom domain knowledge is highly desirable.</li><li>
Strong communication, leadership, and problem-solving skills.</li></ul><p></p><p><b><br>
Key Competencies Technical:</b></p><ul><li>
Automation and orchestration design and integration experience.</li><li>
Hands-on programming in Java, Python, Groovy, JavaScript.</li><li>
RPA tools experience.</li><li>
AI/ML, statistics, and optimization understanding.</li></ul><p><b>
Non-Technical:</b></p><ul><li>
Strong English communication skills.</li><li>
Agile working mindset, collaborative, and innovative.</li><li>
High integrity and accountability.</li><li>
Data-driven decision-making and problem-solving mindset.</li></ul></div></div></div><p><b>
Why join Ericsson?</b>At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.<br>
<br>
<b>What happens once you apply?</b>Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.</p><p></p><p><b><br>
Primary country and city:</b> India (IN) || Noida</p><p><b>
Req ID:</b> 781373</p></div><p></p>

Automation Architect

Qode

<b>Location:</b> Fort Mill, SC and New Jersey, USAWorkplace Type: Hybrid (3 days onsite)
<br><br>
<b>About the Role:</b><br>
We are seeking a highly skilled and experienced Camunda Architect to join our team. As a Camunda Architect, you will be responsible for designing, developing, and implementing Camunda-based workflow orchestration solutions to streamline and automate key business processes. You will play a critical role in defining the architecture, ensuring scalability, and providing technical leadership to a team of developers. The ideal candidate will have a strong background in BPMN, DMN, microservices architecture, and integration with various systems and services. This role requires a hands-on approach and the ability to mentor and guide other team members.
<br><br>
<b>Key Responsibilities:</b><br>
<ul>
<li>Architected and implemented Camunda-based workflow orchestration platform managing millions of process instances monthly.</li>
<li>Designed microservices architecture using Spring Boot and Kafka for process integration and event-driven orchestration.</li>
<li>Defined BPMN and DMN models for key business processes such as loan approvals, claims, and onboarding.</li>
<li>Integrated Camunda with external APIs, legacy systems, and cloud-native services using REST and messaging queues.</li>
<li>Mentored a team of developers on Camunda best practices, process versioning, and performance tuning.</li>
<li>Implemented Camunda Optimize dashboards to monitor process SLAs and KPIs.</li>
<li>Collaborate with business stakeholders to understand process requirements and translate them into technical specifications.</li>
<li>Develop and maintain comprehensive documentation for Camunda workflows and related integrations.</li>
<li>Ensure the scalability, performance, and security of the Camunda platform.</li>
<li>Participate in code reviews and provide constructive feedback to other developers.</li>
<li>Stay up-to-date with the latest Camunda features and best practices.</li>
<li>Troubleshoot and resolve issues related to Camunda workflows and integrations.</li>
</ul>
<b>Required Skills & Qualifications:</b><br>
<ul>
<li>Bachelor's degree in Computer Science or a related field.</li>
<li>10+ years of experience in software development with a focus on workflow automation.</li>
<li>5+ years of experience with Camunda BPMN engine, including modeling, deployment, and monitoring.</li>
<li>Strong understanding of BPMN and DMN standards.</li>
<li>Experience with microservices architecture and RESTful APIs.</li>
<li>Proficiency in Java/.Net/Spring Boot.</li>
<li>Experience with messaging queues such as Kafka or RabbitMQ.</li>
<li>Experience with database technologies such as MySQL or PostgreSQL.</li>
<li>Familiarity with cloud-native technologies such as Docker and Kubernetes.</li>
<li>Excellent communication and collaboration skills.</li>
<li>Ability to work independently and as part of a team.</li>
<li>Strong problem-solving skills.</li>
</ul>
<b>Additional Information:</b><br>
This is a full-time position with competitive salary and benefits. The role is hybrid, requiring 3 days onsite in either Fort Mill, SC or New Jersey. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We offer a dynamic and challenging work environment with opportunities for professional growth and development. If you are a passionate and experienced Camunda Architect looking for a new challenge, we encourage you to apply.

Camunda Architect

Amgen

<div><p><b>ABOUT AMGEN</b></p><p>
Amgen harnesses the best of biology and technology to fight the world&rsquo;s toughest diseases, and make people&rsquo;s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what&rsquo;s known today.</p><p></p><p><b>
ABOUT THE ROLE</b></p><p><b>
Role Description:</b></p><p>
The <b>Sr Associate Solution Architect </b>position offers a unique opportunity to join a fun, innovative engineering team within the AI &amp; Data Science (AI&amp;D) - organization. You&rsquo;ll work on next-generation capabilities and services in Applied AI &amp; Automation using innovative COTS products, open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, in ensuring quality, compliance, and performance across Amgen&rsquo;s Applied AI &amp; Automation Footprint.</p><p></p><p><b>
Role Summary</b></p><p>
We are seeking a highly skilled and innovative Senior Associate Solution Architect to design, build, and scale enterprise-grade AI systems, with a strong emphasis on agentic AI, intelligent automation, and MLOps best practices. This role is ideal for a hands-on architect who operates at the intersection of autonomous AI systems, cloud-native platforms, and regulated enterprise environments.</p><p>
The architect will lead the design of agent-based systems capable of autonomous planning, tool use, multi-agent coordination, and integration with enterprise automation platforms.</p><div></div><p><b>
Key Responsibilities</b></p><ul><li>
Architect, build, and deploy full-stack AI and agentic systems with a focus on scalability, reliability, and cost efficiency.</li><li>
Design and implement agentic AI solutions that autonomously plan, execute, and monitor complex workflows using LLMs, multi-agent patterns, and tool orchestration.</li><li>
Define reference architectures for agent-based automation across a maturity spectrum, from basic agentic workflows to advanced multi-agent systems integrated with enterprise platforms.</li><li>
Integrate agentic AI with intelligent automation and RPA platforms such as UiPath and Power Automate to enable end-to-end business process automation.</li><li>
Collaborate with data scientists, engineers, and product teams to drive platform reuse, architectural consistency, and innovation.</li><li>
Establish MLOps and AgentOps practices including CI/CD, monitoring, governance, and lifecycle management for AI and agent-based systems.</li><li>
Stay current with advancements in generative AI, multi-modal models, and agent frameworks, applying them pragmatically in enterprise contexts.</li></ul><div></div><p><b>
Basic Qualifications</b></p><ul><li>
Bachelor's degree with 4 to 8 years of experience, or Master's degree, in Life Sciences, Biotechnology, Pharmacology, Information Systems, or related fields.</li><li>
3+ years of hands-on experience designing and deploying AI/ML systems in production environments.</li><li>
Demonstrated experience architecting agentic AI systems, including multi-agent coordination, tool integration, and autonomous workflow execution.</li><li>
Strong proficiency in Python and ML frameworks such as TensorFlow or PyTorch.</li><li>
Experience with cloud platforms such as AWS, Azure, or GCP.</li><li>
Hands-on experience with MLOps practices and AI model lifecycle management.</li><li>
Solid understanding of LLM-based architectures, prompt engineering, and fine-tuning techniques.</li><li>
Experience designing and deploying automation workflows using platforms such as UiPath and Power Automate.</li></ul><div></div><p><b>
Preferred Qualifications</b></p><ul><li>
Experience with agentic AI frameworks and orchestration patterns, for example LangChain, LangGraph, AWS AgentCore, UiPath Agent or Maestro, N8N, and A2A.</li><li>
Good understanding of Model Context Protocol (MCP) concepts and application patterns.</li><li>
Experience with vector databases and retrieval-augmented generation (RAG) architectures.</li><li>
Experience architecting and deploying end-to-end ML pipelines using platforms such as Kubeflow, Amazon SageMaker, or OpenAI SDK.</li><li>
Strong understanding of cloud-native optimization, CI/CD pipelines, observability, and governance.</li><li>
Experience with model monitoring, observability tools, and responsible AI practices.</li><li>
Familiarity with SAP platforms, preferably S4 and Build Process Automation (BPA).</li><li>
Experience in Pharma, Biopharma, or regulated healthcare environments.</li></ul><div></div><p><b>
Soft Skills</b></p><ul><li>
Strong solution design and analytical problem-solving skills.</li><li>
Ability to translate complex business requirements into scalable technical architectures.</li><li>
Excellent communication, collaboration, and presentation skills.</li><li>
Proven ability to work effectively in cross-functional, team-based environments.</li></ul><p></p><p><b>
EQUAL OPPORTUNITY STATEMENT</b></p><p>
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.</p><p>
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform</p></div>

Sr Associate Applied AI Solution Architect (Agentic Automation, GenAI & ML)

CoinFantasy

<p><b>AI ARCHITECT</b></p><p>As an AI Architect, you will design and deploy scalable, autonomous AI systems, ensuring seamless integration with cloud platforms and enterprise workflows. You will lead AI strategy, evaluate emerging frameworks, and optimize AI models for real-world applications while driving innovation in agentic AI.</p><p><b>Key Responsibilities</b></p><ul><li>AI System Design: Architect scalable, autonomous AI/ML systems, including APIs, agents, and pipelines for dynamic decision-making.</li><li>Technical Leadership: Guide AI engineers and data scientists in implementing advanced architectures (LLMs, multi-agent frameworks).</li><li>Cloud &amp; Framework Expertise: Deploy AI solutions on AWS SageMaker, Azure ML, or Vertex AI; leverage tools like LangChain, AutoGPT, or Autogen.</li><li>Optimization &amp; Customization: Fine-tune LLMs and AI models for domain-specific tasks (real-time analytics, adaptive automation).</li><li>Innovation &amp; R&amp;D: Prototype emerging AI architectures (neuro-symbolic systems, self-improving agents) for production viability.</li><li>System Validation: Ensure robustness via stress testing, bias mitigation, and compliance with ethical AI standards.</li><li>Stakeholder Collaboration: Align AI initiatives with business goals and advocate for AI-driven innovation.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Minimum 6 years of hands-on experience in AI architecture, cloud platforms (AWS/Azure/GCP), and LLM frameworks.</li><li>Proficiency in Python, TensorFlow/PyTorch, and AI deployment tools (SageMaker, Vertex AI).</li><li>Strong background in autonomous agents, multi-agent systems, and AI optimization.</li><li>Experience with LangChain, AutoGPT, or similar frameworks is a plus.</li><li>Ability to translate research into production-ready architectures.</li><li>Excellent communication and leadership skills.</li></ul><p><b>About Us</b></p><p>CoinFantasy is a revolutionary Play to Invest platform that transforms the world of investing into an engaging and intuitive gaming experience. Our platform offers multiple game categories, allowing users to explore the end-to-end investment journey in a risk-free sandbox environment.</p><p>Building on this innovative foundation, we are now pioneering a groundbreaking decentralized protocol set to redefine the AI landscape. Join us in shaping the future of finance and technology!</p><p>Website:</p><p><b>Benefits</b></p><ul><li>Competitive salary and performance incentives.</li><li>Be part of the Core Team in a fast-growing, innovative company.</li><li>Fulfilling &amp; challenging work with real impact on the product.</li><li>Unlimited growth opportunities &ndash; professionally and personally.</li></ul><p>Job Type: Full-time</p><p>Pay: ₹2,000,000.00 - ₹3,500,000.00 per year</p><p>Benefits:</p><ul><li>Leave encashment</li></ul><p>Ability to commute/relocate:</p><ul><li>Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Application Question(s):</p><ul><li>How many years of  experience do you have working in projects related to Agentic AI, Generative AI?</li></ul><p>Location:</p><ul><li>Chennai, Tamil Nadu (Required)</li></ul><p>Work Location: In person</p>

Generative AI Architect

Zoolatech

<div><div><div><div><div><div><div><div><b>OVERVIEW</b></div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>The global jewelry manufacturer and retailer is seeking a highly experienced Machine Learning Architect to define and lead the architectural vision for the applied ML ecosystem. This role focuses on driving forecasting, predictive modeling, and production-grade MLOps capabilities across the organization. You will shape the next-generation ML platforms, ensuring that forecasting, optimization, and decision-intelligence use cases are robust, scalable, and seamlessly integrated into the global retail environment.</p><p>
As a senior ML leader, you will collaborate across engineering, data, supply chain, merchandising, and digital functions to establish best‑in‑class ML patterns, champion model lifecycle excellence, and advance Pandora&rsquo;s enterprise ML maturity.</p>
</div><div><p><b>Strategic ML Vision &amp; Roadmapping</b></p><ul><li><p>
Guide ML direction across forecasting, optimisation, recommendations, and predictive analytics.</p></li><li><p>
Translate industry trends in time-series modelling, probabilistic forecasting, causal ML, feature stores, and MLOps automation into actionable architectural strategies.</p></li><li><p>
Align ML ecosystem development with business priorities across merchandising, supply chain, operations, and omnichannel retail.</p></li></ul><p><b>
Solution Architecture for Applied ML</b></p><ul><li><p>
Lead the design and architecture of ML systems, including forecasting pipelines, demand/sales/promotions prediction models, anomaly detection systems, and real-time scoring services.</p></li><li><p>
Partner with engineering and AI &amp; Data platforms teams to ensure models integrate into operational systems with robust SLAs and monitoring.</p></li><li><p>
Define reference architectures for traditional ML, deep learning, and time-series forecasting.</p></li></ul><p><b>
MLOps &amp; ML Platform Leadership</b></p><ul><li><p>
Architect end-to-end MLOps pipelines covering training, evaluation, deployment, and monitoring for high-scale model fleets.</p></li><li><p>
Ensure reproducibility, CI/CD for ML, automated retraining, feature store integration, and governance of model lineage.</p></li><li><p>
Drive platform choices and integrations (e.g., Databricks, Fabric, MLflow, Kubernetes-based serving).</p></li></ul><p><b>
Integration of ML SaaS &amp; Build-vs-Buy Evaluation</b></p><ul><li><p>
Evaluate third-party forecasting and ML SaaS solutions and guide integration into internal systems.</p></li><li><p>
Lead architectural assessments and drive decisions on build vs buy for ML capabilities.</p></li></ul><p><b>
Governance, Quality, and Operational Excellence</b></p><ul><li><p>
Define and enforce architectural and MLOps standards that ensure models meet NFRs such as accuracy, performance, fairness, reliability, and explainability.</p></li><li><p>
Champion ML governance, including model risk management, bias detection, privacy compliance, and ethical AI.</p></li></ul><p><b>
Collaboration Across Engineering, Data &amp; Business</b></p><ul><li><p>
Work closely with the Data &amp; AI Platform, retail analytics, supply chain and merchandising teams to ensure ML solutions are scalable and production-ready.</p></li><li><p>
Align model design with data pipelines, real-time event streaming, microservices, and operational workflows.</p></li></ul><p><b>
Hands-On Technical Leadership</b></p><ul><li><p>
Provide hands-on support (~20% time) for prototype forecasting models, PoCs, architecture spikes, and code reviews.</p></li><li><p>
Mentor engineers and data scientists on best practices in ML architecture and MLOps.</p></li></ul>
</div><div><p><b>Experience</b></p><ul><li><p>
Extensive experience designing and deploying ML architectures, including forecasting, predictive modelling, and MLOps.</p></li><li><p>
Strong background in traditional ML, time-series modelling, and ML productionisation at enterprise scale.</p></li><li><p>
Prior experience as an ML Architect, Solutions Architect, Machine Learning Engineer, or similar senior role.</p></li></ul><p><b>
Technical Skills</b></p><ul><li><p>
Expertise with forecasting frameworks (e.g., Prophet, ARIMA, DeepAR, TFT, custom deep learning forecasting architectures).</p></li><li><p>
Strong understanding of ML lifecycle management, feature stores, ML observability, and performance optimisation.</p></li><li><p>
Hands-on experience with:</p><ul><li><p>
Cloud ML platforms (Azure preferred)</p></li><li><p>
Databricks, Fabric, Spark</p></li><li><p>
MLOps frameworks (MLflow, CI/CD pipelines, containerisation, serving patterns)</p></li><li><p>
Infrastructure as Code (Terraform, ARM/Bicep)</p></li><li><p>
Event-driven and microservices architectures for real-time inference</p></li></ul></li></ul><p><b>
Soft Skills</b></p><ul><li><p>
Excellent communicator able to bridge ML complexity with business and engineering clarity.</p></li><li><p>
Strong leadership presence, enabling cross-functional alignment and influencing strategic decisions.</p></li></ul><p><b>
Additional Skills</b></p><ul><li><p>
Azure / AWS / GCP ML or AI certifications.</p></li><li><p>
Experience with ML governance, risk management, explainability, and cost-optimised ML architectures.</p></li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>Machine Learning
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

ML Architect – AI & Automation

Grant Thornton

<div></div><ul><div>11 - 15 Years</div>
<div></div><div>1 Opening</div>
 <div>Bengaluru, Kolkata</div></ul>
<br><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p>The role involves leading the design and delivery of scalable AI solutions on the Microsoft Azure platform, leveraging services such as Azure Machine Learning, Azure Cognitive Services, and OpenAI on Azure. The Solution Architect translates business requirements into end‑to‑end AI architectures, oversees the full AI lifecycle from data preparation to deployment, and integrates open‑source frameworks into cloud‑native solutions. The role ensures engineering excellence through MLOps, responsible AI practices, enterprise integrations, and cost‑optimized deployments, while acting as a trusted technical advisor and mentoring teams to deliver business‑aligned AI outcomes.</p></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>Strong experience with the Microsoft AI/ML stack, including:<br>
Azure Machine Learning<br>
Azure Cognitive Services<br>
OpenAI on Azure<br>
Azure Synapse Analytics<br>
Power BI with AI capabilities<br>
Proficiency in Python (preferred), with exposure to R or C#.<br>
Hands‑on experience with open‑source AI frameworks: TensorFlow, PyTorch, Hugging Face, Scikit‑learn.<br>
Strong understanding of data modeling, statistics, and algorithm development.<br>
Experience designing cloud‑native AI architectures using Docker and Kubernetes.<br>
Solid knowledge of MLOps, CI/CD pipelines, and AI lifecycle management.<br>
Experience working in agile, cross‑functional teams.<br>
Excellent communication, leadership, and presentation skills.</p>
<p>
Preferred Qualifications</p>
<p>
Microsoft certifications such as:<br>
Azure AI Engineer Associate<br>
Azure Data Scientist Associate<br>
Azure Solutions Architect Expert<br>
Experience integrating AI solutions with Microsoft Power Platform and Dynamics 365.<br>
Hands‑on exposure to generative AI, including GPT models, prompt engineering, and fine‑tuning on Azure.</p></div></div>
<br><div><h3 class="jobSectionHeader"><b>About Grant Thornton INDUS</b></h3>
<div>&lsquo;Grant Thornton INDUS&rsquo; comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. What sets us apart isn&rsquo;t just what we do &ndash; it&rsquo;s how we do it. We support and enable the firm&rsquo;s purpose of making business more personal and building trust into every result. We&rsquo;re collaborators &ndash; obsessed with quality and ready for anything &ndash; who understand the value of strong relationships. Our professionals are well integrated to seamlessly support the U.S. engagement teams, help increase Grant Thornton&rsquo;s access to a wide talent pool, and improve operational efficiencies. Empowered people, bold leadership, and distinctive client service are imbibed in the culture at Grant Thornton INDUS. We are a transparent, competitive, and excellence-driven firm that offers an opportunity to be part of something significant. In addition, professionals at Grant Thornton INDUS serve communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India &ndash; Bengaluru and Kolkata</div></div>

Solution Architect - AI

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a hands-on and qualified AI Agent Architect to design and deploy advanced Agentic AI systems&mdash;comprising task-specific autonomous tools governed by a master agent&mdash;to support complex technical decision-making in industrial environments.<br>
This is a high-impact individual contributor role for someone who can independently deliver full-stack intelligent agents that interpret natural language queries and generate precise, context-aware outputs by interacting with structured and unstructured data, APIs, and analytical engines.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Architect and develop a multi-agent AI framework where autonomous agents coordinate to solve domain-specific technical queries.
</p></div><div><p>Leverage LLMs, NLP, and tool-based reasoning to automate data extraction, analysis, and insight generation.
</p></div><div><p>Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources.
</p></div><div><p>Collaborate with domain experts to align agent behavior with technical expectations and constraints.
</p></div><div><p>Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs.
</p></div><div><p>Continuously optimize prompting, agent orchestration, and performance under real-world conditions.
</p></div><div><p>Business trip to Kuwait for first 6-12 months. On-site
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Demonstrated expertise in building Agentic AI architectures, using frameworks like LangChain, AutoGen, CrewAI, or custom stacks.
</p></div><div><p>Strong foundation in LLM-based NLP, prompt engineering, and context-aware reasoning.
</p></div><div><p>Advanced Python programming and experience deploying AI workflows in cloud or containerized environments.
</p></div><div><p>Ability to work with APIs, data models, and external toolchains across complex systems.
</p></div><div><p>Comfortable operating independently with minimal supervision in a cross-functional environment.
</p></div><div><p>Ready for a long term business trip to Kuwait for first 6-12 months
</p></div></div><p>Nice to have
</p><div><div><p>Exposure to industrial domains such as energy, manufacturing, or heavy engineering.
</p></div><div><p>Understanding of vector databases, knowledge graphs, and retrieval-augmented generation.
</p></div><div><p>Familiarity with Azure or AWS development environments.
</p></div><div><p>Certifications:
</p></div><div><p>Azure AI Engineer or Azure Data Engineer certification is a plus.
</p></div><div><p>AWS experience is nice to have, but not required.
</p></div><div><p>Industry Experience:
</p></div><div><p>Oil and gas domain experience is a strong advantage, especially familiarity with digital operations or engineering workflows.
</p></div><div><p>However, candidates with relevant AI system-building experience in other complex industries are encouraged to apply.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Remote Egypt, Egypt
</p></div><p>Req. VR-118734
</p></div><div></div><div><div><p>AI/ML
</p></div><div><p>Cross Industry Solutions</p>
</div><div><p>23/02/2026
</p></div><div><p>Req. VR-118734</p></div></div></div><p></p>

AI Agent Architect (onsite work in Kuwait)

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