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oracle fusion enterprise contracts integration lead

MENA Consultant

<div>Location: Riyadh/ Jeddah, KSA. 
Years of Experience: 8+ years. 
Project Duration: 1 year. 
Working Arrangement: on-site. 
Language Requirements: Fluency in Arabic &amp; English (written and spoken). 
Starting Date: 1st July, 2026. 

We are seeking an experienced Project Manager (Oracle Fusion ERP) to support the successful delivery of enterprise transformation initiatives involving Oracle Fusion applications. The role will be responsible for overseeing project planning, execution, governance, stakeholder coordination, and progress monitoring while ensuring alignment with project objectives, timelines, and quality standards. The ideal candidate will bring proven experience managing Oracle Fusion ERP, EPM, or CX implementations within the region.

<h2 class="jobSectionHeader">Key Requirements</h2>
<ul><li>Proven experience serving as a Project Manager for Oracle Fusion ERP, Oracle EPM, and/or Oracle CX implementation projects.</li>
</ul><h2 class="jobSectionHeader">Other Qualifications</h2>
<ul><li>Bachelor's degree in Information Technology, Business Administration, Engineering, Computer Science, or a related field.</li>
<li>Strong communication and stakeholder management skills.</li>
<li>Excellent organizational, coordination, and documentation capabilities.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Ability to manage multiple priorities and workstreams simultaneously.</li>
</ul><h2 class="jobSectionHeader">Key Responsibilities</h2>
<ul><li>Lead the planning, execution, monitoring, and delivery of Oracle Fusion implementation projects.</li>
<li>Develop and maintain project plans, schedules, milestones, and deliverables.</li>
<li>Coordinate project activities across business, technical, testing, and vendor teams.</li>
<li>Manage project communications and ensure timely dissemination of updates to stakeholders.</li>
<li>Organize project meetings, workshops, and governance sessions.</li>
<li>Prepare and distribute meeting agendas, action logs, and minutes in Arabic and English.</li>
<li>Monitor project progress and track completion of deliverables against agreed timelines.</li>
<li>Maintain project documentation, registers, reports, and governance artifacts.</li>
<li>Track project risks, issues, dependencies, and change requests, ensuring appropriate follow-up and resolution.</li>
<li>Support PMO activities and provide regular project status reporting to leadership and stakeholders.</li>
<li>Ensure alignment of project execution with organizational standards, governance requirements, and implementation objectives.</li></ul> 


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If you would like to know more about the MC Club Visit: https://menaconsultant.com/mc-club/</div>

Project Manager (Oracle Fusion ERP) - 1-Year Engagement

TAWANTECH

<div>Job Summary
We are seeking an ETL Developer to design, develop, and maintain enterprise data integration solutions supporting banking operations, reporting, analytics, and regulatory requirements.
Key Responsibilities
Develop and maintain ETL workflows using Informatica PowerCenter and/or IBM DataStage.
Extract, transform, and load data from multiple banking systems.
Support Data Warehouse and Data Lake initiatives.
Optimize ETL performance and ensure data quality.
Troubleshoot and resolve data integration issues.
Collaborate with business and data teams to define data requirements.
Support regulatory and management reporting processes. 
Requirements 
4+ years of ETL development experience.
Strong experience with Informatica PowerCenter and/or IBM DataStage.
Strong SQL and database skills.
Experience with Data Warehousing concepts.
Knowledge of data quality and data governance practices.
Experience working with Oracle, SQL Server, or other enterprise databases.
Preferred Qualifications
Banking domain experience.
Experience supporting regulatory reporting environments.
Knowledge of Data Lakes and Big Data technologies</div>

ETL Developer (Informatica / DataStage)

Rawaj - Human Capital Management

<div>Leverage your expertise and join a pioneering team in the retail industry, focused on delivering top-tier analytics and data solutions.
The Retail Pro POS Technical Consultant will oversee the implementation, customization, integration, and ongoing support of the Retail Pro Point-of-Sale (POS) system across our retail operations. The ideal candidate will combine strong technical expertise with deep retail systems knowledge to ensure seamless POS functionality, integration with enterprise applications (ERP, CRM, Loyalty, ECOM), and delivery of high-quality support for store operations.<h2 class="jobSectionHeader">
Key Accountabilities</h2><ul><li>
Design, configure, and deploy Retail Pro POS (Retail Pro Prism) across multiple store locations.</li><li>
Customize POS workflows, screen layouts, receipts, and system settings based on business requirements.</li><li>
Manage system upgrades, patches, and enhancements while minimizing business disruption.</li><li>
Oversee integration of Retail Pro POS with ERP, CRM, loyalty systems, eCommerce platforms, and payment gateways.</li><li>
Ensure accurate synchronization of sales, inventory, promotions, and customer data across systems.</li><li>
Collaborate with IT teams and vendors to resolve integration and data-related issues.</li><li>
Provide technical support and act as the escalation point for POS-related incidents and problems.</li><li>
Monitor system performance and troubleshoot transaction, replication, and connectivity issues.</li><li>
Conduct system health checks and implement preventive maintenance activities.</li><li>
Lead POS implementation projects, store rollouts, migrations, and system enhancements.</li><li>
Coordinate with business functions including Finance, Supply Chain, Store Operations, and Audit to ensure smooth operations.</li><li>
Maintain system documentation and support business continuity initiatives.</li></ul><h2 class="jobSectionHeader">
Knowledge , Skills , Experience</h2><ul><li>
Bachelor's degree in Computer Science, Information Systems, or a related field.</li><li>
Minimum 5 years of experience in retail IT systems with at least 2 years of hands-on experience with Retail Pro POS (Retail Pro Prism).</li><li>
Retail industry certifications or Retail Pro certifications are an advantage.</li><li>
Strong understanding of retail operations, store processes, and POS workflows.</li><li>
Experience integrating POS systems with ERP, CRM, loyalty platforms, and payment gateways.</li><li>
Proficiency in SQL and database management (Oracle and/or MySQL).</li><li>
Knowledge of networking concepts including LAN, WAN, VPN, and store connectivity.</li><li>
Experience managing POS implementations and rollouts across multiple stores and locations.</li><li>
Experience with large-scale retail transformation or digitalization projects.</li><li>
Experience with JavaScript, .NET, or other scripting/programming languages is preferred.</li><li>
Strong analytical, troubleshooting, and problem-solving skills.</li><li>
Excellent communication and stakeholder management abilities.</li><li>
Ability to work effectively in fast-paced environments and manage multiple priorities.</li><li>
Good balance of technical and functional business knowledge.</li><li>
Understanding of retail promotions, coupons, loyalty programs, and compliance requirements.</li></ul></div>

Retail Pro POS Technical Consultant - Saudi Arabia

InnovationTeam

<div>InnovationTeam is a forward-thinking technology company specialized in delivering advanced AI-driven solutions for enterprises and government organizations. We are currently seeking a highly skilled AI Team Lead to join our team onsite in Saudi Arabia.
As an AI Team Lead at InnovationTeam, you will be responsible for leading the design, development, implementation, and delivery of end-to-end AI solutions across multiple domains, including Generative AI, machine learning, deep learning, data science, computer vision, NLP, intelligent automation, and enterprise AI systems.
This role is not limited to Generative AI. It requires a strong technical background across modern AI technologies, hands-on experience in building production-ready AI solutions, and the leadership capability to manage AI engineers, data scientists, ML engineers, and cross-functional delivery teams.
The ideal candidate is a strong technical leader who can translate business requirements into scalable AI solutions, manage project execution, guide technical teams, communicate with stakeholders, and ensure successful delivery of AI initiatives within scope, timeline, and quality standards.
At InnovationTeam, we value innovation, ownership, collaboration, and continuous learning. We provide a dynamic work environment where technical excellence, leadership, and business impact are highly recognized. 
Requirements 
We are seeking an experienced AI Team Lead to lead onsite AI delivery in Saudi Arabia. The role involves managing AI projects, supervising technical teams, designing AI architectures, developing enterprise-grade solutions, and ensuring successful deployment of AI systems into production.
The candidate should have strong experience in Generative AI, machine learning, deep learning, data science, AI solution architecture, MLOps/LLMOps, cloud deployment, and project management.
Key Responsibilities<ul><li>
Lead the AI team in designing, developing, and delivering enterprise AI solutions.</li><li>
Manage AI projects from requirement gathering to production deployment.</li><li>
Translate business needs into technical AI solution designs and implementation plans.</li><li>
Design and supervise solutions involving Generative AI, LLMs, RAG systems, AI agents, NLP, machine learning, deep learning, and computer vision.</li><li>
Lead data science initiatives, including data analysis, feature engineering, model development, evaluation, and optimization.</li><li>
Build and oversee end-to-end AI pipelines, including data ingestion, preprocessing, model training, inference, monitoring, and continuous improvement.</li><li>
Guide the implementation of machine learning and deep learning models using frameworks such as PyTorch, TensorFlow, Scikit-learn, and related tools.</li><li>
Supervise the development of AI agents, chatbots, recommendation systems, classification models, predictive analytics, and intelligent automation solutions.</li><li>
Define AI architecture, integration patterns, APIs, microservices, and deployment strategies.</li><li>
Ensure AI solutions are scalable, secure, reliable, cost-efficient, and production-ready.</li><li>
Collaborate with business stakeholders, product teams, data teams, software engineers, and cloud teams.</li><li>
Manage task allocation, technical reviews, project milestones, risks, and delivery timelines.</li><li>
Establish best practices for MLOps, LLMOps, model governance, model monitoring, documentation, and quality assurance.</li><li>
Support presales and client discussions by providing technical input, solution proposals, effort estimation, and feasibility assessments.</li><li>
Ensure AI solutions comply with security, privacy, governance, and responsible AI principles.</li><li>
Mentor and coach AI engineers, ML engineers, data scientists, and junior team members.</li><li>
Stay up to date with the latest developments in AI, machine learning, deep learning, Generative AI, cloud AI services, and enterprise AI platforms.</li></ul>
Required Skills &amp; Qualifications<ul><li>
Minimum 5 years of professional experience in AI, machine learning, data science, or related technology fields.</li><li>
Minimum 2&ndash;3 years of experience leading AI teams or managing AI solution delivery.</li><li>
Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or a related field.</li><li>
Strong hands-on experience in machine learning, deep learning, NLP, Generative AI, and data science.</li><li>
Solid understanding of LLMs, RAG architectures, AI agents, vector databases, prompt engineering, and model evaluation.</li><li>
Strong experience with Python and AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, or LlamaIndex.</li><li>
Experience in building and deploying ML/DL models for real-world enterprise use cases.</li><li>
Strong understanding of supervised learning, unsupervised learning, classification, regression, clustering, recommendation systems, forecasting, and anomaly detection.</li><li>
Experience with data preparation, data quality assessment, feature engineering, model training, validation, testing, and performance monitoring.</li><li>
Strong software engineering knowledge, including REST APIs, microservices, Docker, Kubernetes, CI/CD, and Git.</li><li>
Experience deploying AI workloads on cloud platforms such as OCI, Azure, AWS, or GCP. OCI experience is preferred.</li><li>
Knowledge of MLOps and LLMOps practices, including model versioning, monitoring, retraining, evaluation, and deployment automation.</li><li>
Strong project management skills, including planning, estimation, risk management, stakeholder communication, and delivery tracking.</li><li>
Ability to communicate complex technical concepts clearly to business and technical stakeholders.</li><li>
Excellent problem-solving, analytical, leadership, and decision-making skills.</li><li>
Excellent command of English, both written and spoken.</li><li>
Willingness to work onsite in Saudi Arabia.</li></ul>
Nice to Have<ul><li>
Experience in government, healthcare, finance, telecom, or regulated enterprise environments.</li><li>
Experience with GPU-based model training and inference optimization.</li><li>
Experience with computer vision, OCR, document AI, speech AI, or multimodal AI systems.</li><li>
Experience with Azure OpenAI, Oracle AI Services, AWS Bedrock, Google Vertex AI, or similar enterprise AI platforms.</li><li>
Knowledge of AI governance, responsible AI, data privacy, cybersecurity, and compliance frameworks.</li><li>
Experience in presales, technical proposal preparation, and client-facing solution presentations.</li><li>
Arabic language skills are an advantage.</li></ul> 

Benefits 
<ul><li>
Opportunity to lead strategic AI initiatives in Saudi Arabia.</li><li>
Work on advanced AI solutions across Generative AI, machine learning, deep learning, and data science.</li><li>
Leadership role with direct impact on enterprise and government AI transformation projects.</li><li>
Collaborative and innovation-driven work environment.</li><li>
Competitive compensation package.</li><li>
Access to modern AI infrastructure, cloud platforms, and enterprise data environments.</li><li>
Professional growth, leadership development, and continuous learning opportunities.</li></ul></div>

AI Team Lead

Red Sea Global

<div><div><div><div><div>Division: System and Technology
</div></div></div></div><div><div><div><div>Department: Logistics Systems
</div></div></div></div><div><div><div><div>Company: Red Sea Coastal Trading Company
</div></div></div></div><div><div><div><div>Empowering Progress Through Integrated Supply Chain &amp; Logistics Solutions 


Red Sea Coastal Trading Company is a specialized supply chain and logistics subsidiary under Red Sea Global, designed to power the seamless delivery of materials, equipment, and services across our portfolio of pioneering developments. 


Operating at the heart of Saudi Arabia&rsquo;s most ambitious regenerative tourism projects, the subsidiary delivers end-to-end supply chain management, including procurement support, transportation coordination, inventory and warehouse management, and last-mile logistics to remote destinations across the Red Sea coast and beyond. 


With a focus on efficiency, reliability, and environmental responsibility, the team ensures that every link in the supply chain supports Red Sea Global&rsquo;s commitment to sustainability, operational excellence, and local value creation. 


Efficiency in Motion. Excellence in Delivery. 


Job Purpose:

The Senior Manager &ndash; Logistics Systems &amp; Technology is responsible for leading the strategy, design, implementation, integration, and continuous optimization of logistics systems across the supply chain and logistics network. This role oversees logistics digital transformation initiatives including Warehouse Management Systems (WMS), Transportation Management Systems (TMS), Freight Management Systems (FMS), Asset Management Systems (AMS), RFID, RPA, and any related systems and automation technologies. 


The Senior Manager will be responsible for managing the day-to-day operations of the company&rsquo;s Logistics Systems &amp; Technology, ensuring real-time visibility, efficiency, and optimization across all Logistics functions. This includes overseeing the performance and development of the Logistics Systems team, and ensuring seamless coordination across warehousing, transportation and International Freight. The role is critical to ensuring that the company&rsquo;s Logistics operations are continuously optimized, aligned with strategic goals, and deliver cost-effective solutions that enhance customer satisfaction. 


The role acts as the primary owner of logistics systems architecture, vendor strategy, and solution roadmap, ensuring seamless integration with SAP and other enterprise platforms while enabling scalable, efficient, and data-driven logistics operations. The Senior Manager works closely with Supply Chain Operations, Corporate Procurement, IT, SAP teams, and external vendors to deliver robust, future-ready logistics solutions aligned with business objectives. 


Strategic Contribution
<ul>
<li>Define and own the logistics systems strategy and roadmap aligned with the organization&rsquo;s supply chain, logistics, and digital transformation objectives.</li>
<li>Lead enterprise-wide logistics systems initiatives including WMS, TMS, FMS, AMS, RFID, RPA, and logistics automation solutions.</li>
<li>Establish technology standards, system architecture, and integration principles for logistics platforms.</li>
<li>Act as a key advisor to senior leadership on logistics systems capabilities, risks, investments, and transformation opportunities.</li>
<li>Lead, mentor, and develop Logistics Systems &amp; Technology team members, setting clear objectives and ensuring alignment with organizational priorities.</li>
<li>Proactively identify logistics systems and operational risks, define mitigation strategies, and act as the escalation point for critical system or operational issues impacting supply chain continuity.</li>
<li>Ensure that Logistics Systems &amp; Technology operations support high levels of customer satisfaction, with an emphasis on on-time delivery, quality, and responsiveness to customer needs.</li></ul> 


Operational
<ul>
<li>Lead the drafting of RFPs, RFIs, and technical specifications for logistics systems and automation technologies.</li>
<li>Manage vendor evaluations, technical assessments, and solution selection in collaboration with Corporate Procurement.</li>
<li>Oversee vendor performance, SLAs, contracts, and ongoing system support arrangements.</li>
<li>Lead day-to-day Logistics Systems &amp; Technology operations supporting warehousing, transportation, and international freight activities, ensuring system stability, performance, and minimal operational disruption.</li></ul> 


Logistics Systems Implementation &amp; Integration
<ul>
<li>Lead end-to-end implementation of logistics systems including WMS, TMS, FMS, AMS, RFID, and RPA solutions across warehouses, distribution centers, and transport networks.</li>
<li>Ensure seamless integration of logistics systems with SAP (MM, SD, FI), data platforms, and third-party solutions.</li>
<li>Oversee system testing, UAT, go-live, hypercare, and stabilization activities.</li>
<li>Ensure logistics systems provide end-to-end, real-time visibility across warehousing, transportation, and international freight operations.</li></ul> 


Business &amp; Technical Requirements Management
<ul>
<li>Lead the definition and governance of logistics systems business, functional, and technical requirements.</li>
<li>Translate logistics operational needs into scalable system solutions and architectures.</li>
<li>Ensure solutions support standardization, automation, scalability, and operational excellence.</li></ul> 


Logistics Asset &amp; Infrastructure Enablement
<ul>
<li>Support logistics asset infrastructure enablement including automation equipment, scanners, RFID hardware, IoT devices, and network connectivity.</li>
<li>Ensure alignment between physical logistics assets and system capabilities.</li></ul> 


Policies, Systems, Processes, Procedures, Standards and Reports
<ul>
<li>Define and enforce logistics systems policies, standards, and governance frameworks.</li>
<li>Ensure compliance with enterprise IT, cybersecurity, and data governance standards.</li>
<li>Develop and maintain system documentation, architecture diagrams, process flows, and operating procedures.</li>
<li>Provide executive-level MIS reporting on logistics systems performance, risks, and roadmap progress.</li>
<li>Define, track, and report Logistics Systems KPIs and performance metrics, providing regular updates to senior leadership on risks, achievements, and improvement areas.</li></ul> 


Safety, Quality &amp; Environment
<ul>
<li>Ensure logistics systems support safety, quality, and environmental compliance across warehouse and transport operations.</li>
<li>Promote data accuracy, system reliability, and operational resilience.</li></ul> 


Continuous Improvement
<ul>
<li>Drive continuous improvement initiatives through system optimization, automation, and analytics.</li>
<li>Benchmark logistics systems and automation solutions against global best practices.</li>
<li>Identify opportunities for cost optimization, productivity improvement, and service level enhancement.</li></ul> 


Job Requirements:
<ul>
<li>Bachelor&rsquo;s degree in Supply Chain Management, Information Systems, Engineering, Computer Science, or related field; Master&rsquo;s degree preferred.</li>
<li>10+ years of experience in logistics systems, supply chain management, technology, or digital transformation roles, with at least 3 years in a leadership or managerial capacity.</li>
<li>Proven experience managing Internal and external teams and coordinating across different supply chain functions (e.g., IT, System, warehousing, transportation, sourcing, purchasing).</li>
<li>Proven leadership experience in implementing large-scale logistics systems (WMS, TMS, FMS, AMS).</li>
<li>Strong experience with SAP integration within logistics environments.</li>
<li>Demonstrated experience leading RFPs, vendor selection, and contract negotiations.</li>
<li>Experience managing multi-vendor, multi-site logistics systems implementations.</li>
<li>APICS CPIM, CSCP, or other relevant certifications are desirable.</li>
<li>Six Sigma or Lean certifications preferred.</li></ul></div></div></div></div></div>

Senior Manager - Logistics Systems

<div>We are seeking an experienced OFSAA Consultant to support Enterprise Performance Management (EPM) and Enterprise Risk Management (ERM) initiatives within a banking environment.
Key Responsibilities<ul><li>
Implement and support Oracle Financial Services Analytical Applications (OFSAA) solutions.</li><li>
Configure and maintain EPM and ERM modules.</li><li>
Support risk management, financial planning, and regulatory reporting processes.</li><li>
Collaborate with business stakeholders to gather and analyze requirements.</li><li>
Develop and maintain OFSAA data models and reporting solutions.</li><li>
Ensure compliance with banking regulations and reporting standards.</li><li>
Participate in system enhancements and transformation initiatives.</li></ul> 

Requirements 
<ul><li>
5+ years of OFSAA implementation and support experience.</li><li>
Strong knowledge of OFSAA EPM and ERM modules.</li><li>
Experience with Oracle databases and SQL.</li><li>
Understanding of banking risk and finance processes.</li><li>
Knowledge of Basel regulations, IFRS9, ALM, or related frameworks.</li></ul>
Preferred Qualifications<ul><li>
Banking experience is mandatory.</li><li>
Experience in regulatory reporting and risk management programs.</li><li>
Oracle certifications are a plus.</li></ul></div>

OFSAA EPM / ERM Consultant

JODAYN

<div>Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade artificial intelligence solutions and intelligent automation platforms.
The successful candidate will play a critical role in developing scalable AI-powered products and reusable enterprise AI services that support digital transformation, governance automation, proposal evaluation, intelligent document processing, and enterprise workflow optimisation.
This role requires a strong engineering mindset combined with hands-on experience in modern AI frameworks, large language model integration, AI orchestration, backend engineering, and enterprise solution development.
The ideal candidate must be capable of independently designing and delivering production-ready AI systems in fast-paced enterprise environments. 
Requirements 
AI Platform Engineering<ul><li>
Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions</li><li>
Build modular and reusable AI services and APIs</li><li>
Develop AI-powered workflow automation systems and intelligent orchestration pipelines</li><li>
Design and implement scalable backend architectures supporting AI workloads</li></ul>
Agentic AI Development<ul><li>
Build autonomous and semi-autonomous AI agents</li><li>
Develop multi-agent orchestration workflows and task delegation systems</li><li>
Implement memory management and contextual reasoning capabilities</li><li>
Integrate AI systems with external tools, APIs, and enterprise applications</li></ul>
Large Language Model Integration<ul><li>
Integrate and optimise large language model services including Claude, OpenAI, and open-source models</li><li>
Develop prompt orchestration pipelines and retrieval-augmented generation architectures</li><li>
Implement vector database integration and semantic search capabilities</li><li>
Optimise model performance, response quality, and operational efficiency</li></ul>
Enterprise System Integration<ul><li>
Integrate AI platforms with enterprise systems, collaboration tools, and document repositories</li><li>
Develop secure API integration patterns</li><li>
Support authentication and identity integration requirements</li><li>
Build AI-enabled enterprise workflow capabilities</li></ul>
Proposal &amp; Compliance Automation<ul><li>
Develop intelligent proposal generation and evaluation systems</li><li>
Build compliance validation and document inspection workflows</li><li>
Implement AI-assisted scoring and recommendation engines</li><li>
Support enterprise governance automation initiatives</li></ul>
Infrastructure &amp; Deployment<ul><li>
Deploy AI applications in cloud, hybrid, and on-premise environments</li><li>
Configure logging, observability, monitoring, and operational diagnostics</li><li>
Support containerisation and deployment automation practices</li><li>
Optimise infrastructure scalability and operational cost efficiency</li></ul> 
Required Qualifications
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field</li><li>
Master&rsquo;s degree is preferred but not mandatory</li></ul>
Experience<ul><li>
Minimum 7 years of software engineering experience</li><li>
Minimum 3 years practical experience developing AI-powered applications</li><li>
Proven experience building and deploying production-grade AI systems</li><li>
Experience working in enterprise or regulated environments preferred</li></ul>
Required Technical Skills
Programming &amp; Backend Development<ul><li>
Python</li><li>
FastAPI or equivalent backend frameworks</li><li>
RESTful APIs</li><li>
PostgreSQL or equivalent databases</li><li>
Git and version control systems</li></ul>
AI Technologies<ul><li>
Claude APIs</li><li>
OpenAI APIs</li><li>
LangGraph</li><li>
LangChain</li><li>
Retrieval-Augmented Generation</li><li>
Vector databases</li><li>
Prompt orchestration</li><li>
AI workflow automation</li></ul>
Frontend &amp; Integration<ul><li>
React or Next.js</li><li>
API integration</li><li>
Authentication and access control concepts</li></ul>
Infrastructure &amp; DevOps<ul><li>
Docker</li><li>
Linux environments</li><li>
CI/CD pipelines</li><li>
Cloud deployment concepts</li></ul>
Preferred Skills<ul><li>
Experience with enterprise AI governance solutions</li><li>
Experience with intelligent document processing systems</li><li>
Experience using AI-assisted development tools</li><li>
Exposure to multi-agent systems and orchestration frameworks</li><li>
Familiarity with enterprise architecture concepts</li></ul> 
Core Competencies<ul><li>
Strong analytical and problem-solving skills</li><li>
Ability to independently deliver complex technical solutions</li><li>
Strong software design capability</li><li>
Fast execution and delivery orientation</li><li>
Excellent communication and documentation skills</li><li>
Ability to work in fast-paced enterprise environments</li></ul></div>

Senior AI Product Engineer

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