ai solutions architect

Team Moxim

Job Opportunity: AI Solutions ArchitectLocation: Mesaieed, Qatar Company: Team MoximAbout UsTeam Moxim is a cutting-edge technology company specializing in artificial intelligence, machine learning, and digital transformation solutions. With a strong presence in Mesaieed, we empower businesses to harness AI for smarter decision-making, operational efficiency, and innovation. As we expand, we are seeking a visionary AI Solutions Architect to design and deliver advanced AI-driven systems.Role OverviewWe are looking for an AI Solutions Architect to lead the design, development, and deployment of AI solutions. This role requires a professional with deep expertise in AI technologies, cloud platforms, and enterprise integration. You will be responsible for shaping Team Moxim&rsquo;s AI strategy, ensuring scalable solutions, and driving innovation across industries.Key Responsibilities<ul><li>Design and architect AI solutions tailored to client needs.</li><li>Oversee development and deployment of machine learning models and AI applications.</li><li>Collaborate with business leaders and technical teams to align AI strategy with organizational goals.</li><li>Ensure compliance with data governance, security standards, and ethical AI practices.</li><li>Monitor KPIs, system performance, and solution effectiveness.</li><li>Manage resources, budgets, and vendor relationships.</li><li>Lead and mentor AI engineers and data scientists.</li><li>Represent Team Moxim in AI industry forums, conferences, and professional networks.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>8+ years of experience in AI/ML solution design, with at least 3 years in an architect-level role.</li><li>Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Azure, Google Cloud) and enterprise integration.</li><li>Proven track record of delivering scalable AI solutions.</li><li>Excellent leadership, organizational, and communication skills.</li><li>Ability to thrive in a fast-paced, innovation-driven environment.</li></ul>Why Join Us?<ul><li>Lead AI initiatives at one of Qatar&rsquo;s premier technology innovators.</li><li>Play a key role in shaping Team Moxim&rsquo;s digital future.</li><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and professional development.</li><li>Collaborative and forward-thinking work culture.</li></ul>Pay: Up to QAR32,000.00 per monthWork Location: In person

AI Solutions Architect

Belvedere Marketing

Location: Remote Company: Belvedere Marketing &amp; PR (BLVDM) Employment Type: Full-Time / Long-Term (Initial 3-month trial)About UsBelvedere Marketing &amp; PR (BLVDM) is a Dubai-based marketing, advertising and PR firm working with brands across hospitality, F&amp;B, lifestyle, beauty, real estate, and luxury sectors.We are evolving beyond traditional marketing.Our focus is to design and implement AI-powered growth systems that help businesses automate marketing, sales, and operations - improving efficiency, consistency, and revenue outcomes.Role OverviewWe are hiring an AI Solutions Architect to design and build scalable AI-driven systems for both internal use and client deployment.This is not a traditional developer role.You will be responsible for translating business needs into structured AI workflows, automation systems, and repeatable frameworks that can be deployed across multiple clients.What You Will Do1. Design AI-Powered Growth Systems<ul><li>Translate marketing, sales, and operational needs into AI workflows</li><li>Build systems for:</li><li>Content generation and distribution</li><li>Lead capture and nurturing</li><li>CRM automation</li><li>Reporting and analytics</li></ul>2. Build Automation Infrastructure<ul><li>Create workflows using tools such as:</li><li>Make (Integromat), Zapier, n8n</li><li>OpenAI / LLM APIs</li><li>CRM platforms (GoHighLevel or similar)</li></ul>3. Develop Internal Operating Systems<ul><li>Build reusable systems for BLVDM:</li><li>Campaign automation pipelines</li><li>Content engines</li><li>Client dashboards</li><li>Reporting frameworks</li></ul>4. Standardize and Scale<ul><li>Convert workflows into repeatable templates</li><li>Ensure systems can be deployed across multiple clients</li><li>Continuously optimize for efficiency and performance</li></ul>5. Collaborate with Strategy &amp; Marketing Teams<ul><li>Work closely with leadership to align systems with growth objectives</li><li>Support implementation across client accounts</li></ul>RequirementsCore Skills<ul><li>Experience building AI workflows using LLM APIs (OpenAI, Claude, etc.)</li><li>Strong understanding of automation tools (Make, Zapier, n8n)</li><li>Experience integrating systems (CRM, email, WhatsApp, analytics tools)</li><li>Ability to think in systems, workflows, and scalability</li></ul>Preferred Background<ul><li>Experience in marketing, growth, or business automation systems</li><li>Understanding of funnels, lead generation, and conversion flows</li><li>Experience building dashboards and reporting systems</li></ul>Mindset<ul><li>Systems thinker (not task executor)</li><li>Strong problem-solving ability</li><li>Focused on outcomes, not just tools</li><li>Ability to work independently and build from scratch</li></ul>What This Role Is Not<ul><li>Not a pure machine learning role</li><li>Not academic AI researcher role</li></ul>What Success Looks Like (First 60 Days)<ul><li>Built initial AI content generation system</li><li>Implemented lead capture and nurture automation</li><li>Created reporting dashboards for internal/client use</li><li>Delivered at least 1&ndash;2 deployable systems for clients</li></ul>Compensation<ul><li>Competitive (based on experience)</li><li>Performance-based growth opportunities</li></ul>How to ApplyPlease send your application to: clientcare@belvedere-marketing.comInclude:<ul><li>Your resume</li><li>A brief overview of AI/automation systems you have built</li><li>A short Loom video (3&ndash;5 minutes) explaining:</li><li>One system you built</li><li>The problem it solved</li><li>How it was structured</li></ul>Applications without the Loom video will not be considered.Final NoteWe are building a long-term system-driven company. If you are someone who understands how to turn business problems into scalable AI systems, and wants to be part of building something meaningful, this role is for you.Job Type: Full-timeWork Location: Remote

AI Solutions Architect (Growth Systems & Automation)

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Are you passionate about architecting scalable AI and data solutions alongside AWS's strategic partners? Do you have deep technical expertise in AI/ML technologies combined with the ability to guide partners in building innovative solutions for customers? 
 
Amazon Web Services (AWS) is seeking a Senior Partner Solutions Architect with proven experience in AI and data architecture to join our Partner Solutions Architecture team in North America. In this role, you will serve as a trusted technical advisor to our strategic partners, helping them architect secure and scalable AWS-integrated solutions that leverage AI/ML services and modern data platforms. You will work backwards from customer needs to design partner solutions that drive sustainable value and accelerate AWS adoption across thousands of advertisers and enterprises globally. 
 
Key job responsibilities 
Architect and design scalable AI/ML and data solutions with strategic partners using AWS services (Amazon Bedrock, SageMaker, Redshift, EMR, Kinesis, and other AI/data services) 
Provide technical leadership on complex partner opportunities, guiding solution architecture from ideation through production deployment 
Lead solution ideation sessions and technical account planning with partners to identify opportunities for AI/ML and data-driven solutions 
Conduct architectural reviews and provide best practices guidance on data platform design, ML pipelines, and AI solution patterns 
Design and implement agentic AI solutions using Amazon Bedrock AgentCore, AWS Strands Agents SDK, and multi-agent orchestration patterns 
Guide partners in building production-grade autonomous AI systems across horizontal (SDLC/application modernization) and vertical (industry-specific) use cases 
Drive partner enablement through technical workshops, immersion days, and thought leadership content focused on AI/ML and data architecture 
Collaborate with AWS product teams to provide partner feedback and influence AI/ML and data service roadmaps 
Ensure security, compliance, and architectural excellence in partner-built solutions through structured review frameworks 
Support partner competency development and certification in AI/ML and data analytics domains 
 
A day in the life 
Review and respond to partner technical questions via email and Slack. Join architecture review calls to validate partner solution designs. Write code samples and integration guides for partner engineering teams. Conduct hands-on workshops demonstrating AWS service integration patterns. Collaborate with AWS account teams on joint customer opportunities. Update technical documentation and reference architectures. Troubleshoot partner deployment issues and optimize performance. Meet with partner product managers/CPO/CTO to discuss roadmap alignment. Create demo environments showcasing joint solutions. Present solution to Partner's customers. Provide feedback to AWS service teams based on partner requirements. 
 
About the team 
The Partner Solutions Architecture team is a specialized group of technical experts who architect scalable solutions alongside Amazon's strategic partners. We serve as the bridge between AWS's capabilities and partner-built solutions that drive innovation globally. Our team operates through a structured engagement model supporting partners at multiple service levels - from dedicated annual planning with managed accounts to scaled community enablement through workshops and technical content. We measure success through design wins, partner revenue growth, API adoption, and the quality of solutions we help bring to market. Our culture values technical excellence, innovation leadership, and continuous learning as we shape how enterprises adopt transformative AI and data technologies.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree</li><li>5+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics).</li><li>2+ years of technology/software sales experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage</li><li>Experience with data architecture, AI/ML solution design, or related technical roles</li><li>Experience architecting and implementing AI/ML solutions at scale, including experience with machine learning frameworks (TensorFlow, PyTorch, MXNet, scikit-learn) and ML platforms</li><li>AWS Certifications (Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty)</li><li>Experience in a customer-facing role such as solutions architect, technical consultant, or professional services</li><li>Experience with Deep Learning architectures and Transformer models (BERT, GPT, T5, etc.) including training, fine-tuning, and deployment at scale</li><li>Experience with Agentic AI Solution Framework including:</li><li>Multi-agent system architecture and orchestration patterns (supervisor agents, agent-to-agent collaboration)</li><li>Amazon Bedrock AgentCore implementation and AWS Strands Agents SDK</li><li>Integration with agentic frameworks (LangGraph, CrewAI, LangChain, AutoGen)</li><li>Agentic protocols including Model Context Protocol (MCP) and Agent-to-Agent (A2A)</li><li>Memory management strategies (short-term/long-term memory, session state, context management)</li><li>Tool integration and API orchestration for autonomous agent systems</li><li>Agent workflow patterns (ReAct, Chain-of-Thought, Reflexion, dynamic replanning)</li><li>Security, governance, and observability frameworks for production agent systems</li><li>Container-based agent deployment on Amazon EKS/ECS</li><li>Autonomous decision-making, contextual reasoning, and goal-oriented agent design</li><li>Hands-on experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Rekognition, Comprehend, Forecast) and AWS data services (Redshift, EMR, Glue, Kinesis, Lake Formation)</li><li>Experience with generative AI, large language models, RAG architectures, and agentic AI systems</li><li>Experience architecting production-grade MLOps pipelines and data governance frameworks</li><li>Background in partner enablement, technical training, or thought leadership</li><li>Experience working with consulting partners, systems integrators, or technology partners</li><li>Publications, presentations, or speaking engagements at industry conferences on AI/ML or data architecture topics</li><li>Strong business acumen with ability to connect technical solutions to business outcomes</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually 
USA, NY, New York - 169,000.00 - 228,600.00 USD annually 
USA, TX, Austin - 153,600.00 - 207,800.00 USD annually 
USA, TX, Houston - 153,600.00 - 207,800.00 USD annually</div>

Senior Solutions Architect - Data Analytics & AI, Partner Solutions Architect

Starlink Qatar

<div>
 
 
 Job Title: AI Architect
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 Design and deliver end-to-end AI solutions, with a strong focus on building business cases tailored to the sports, sports performance, education, and medical industries. The role involves leveraging machine learning, natural language processing, and data analytics to develop scalable, high-impact AI systems that enhance operational efficiency and domain-specific outcomes.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 AI Solution Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google Agent Space.
 </li>
 <li>
 Leverage pre-built AI services (NLP, computer vision, predictive analytics) to accelerate solution delivery.
 </li>
 <li>
 Align AI solutions with organizational priorities across sports, healthcare, and education sectors.
 </li>
 </ul>
 
 
 Enterprise System &amp; Data Integration
 
 
 <ul>
 <li>
 Integrate cloud-based AI services with enterprise systems such as ERP, CRM, medical, and sports performance platforms.
 </li>
 <li>
 Enable seamless connectivity between structured data (databases, KPIs) and unstructured data (documents, video, medical records).
 </li>
 <li>
 Utilize APIs, middleware, and automation tools to streamline data pipelines and workflows.
 </li>
 </ul>
 
 
 AI Governance &amp; Risk Management
 
 
 <ul>
 <li>
 Ensure compliance with data protection regulations such as GDPR, HIPAA, and relevant local laws.
 </li>
 <li>
 Monitor AI systems for bias, transparency, and explainability.
 </li>
 <li>
 Implement security, governance, and ethical AI best practices.
 </li>
 </ul>
 
 
 Applied AI Enablement
 
 
 <ul>
 <li>
 Deploy and customize existing AI models for practical, real-world applications.
 </li>
 <li>
 Configure conversational AI, knowledge agents, and analytics tools to support business operations.
 </li>
 <li>
 Continuously evaluate advancements in AI platforms and implement enhancements.
 </li>
 </ul>
 
 
 Stakeholder &amp; Client Management
 
 
 <ul>
 <li>
 Collaborate with internal stakeholders to identify opportunities for AI adoption.
 </li>
 <li>
 Present AI solutions with clear, measurable business value.
 </li>
 <li>
 Act as a trusted advisor for AI-driven transformation initiatives.
 </li>
 </ul>
 
 
 Performance &amp; Scalability
 
 
 <ul>
 <li>
 Optimize AI systems for performance, scalability, and reliability.
 </li>
 <li>
 Establish monitoring frameworks and continuous improvement processes.
 </li>
 <li>
 Define KPIs and track ROI for AI implementations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Minimum 8+ years of experience in Solution Architecture.
 </li>
 <li>
 At least 4 years of hands-on experience in applied AI/ML projects.
 </li>
 <li>
 Mandatory: Bilingual (Arabic speaker)
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science, Artificial Intelligence, Data Science, IT, or Engineering.
 </li>
 </ul>
 
 
 
 
 
 Certifications
 
 
 <ul>
 <li>
 AI-related certifications such as Microsoft Certified AI Developer/Architect.
 </li>
 <li>
 Experience with Azure AI Foundry and Google Cloud AI/ML platforms.
 </li>
 <li>
 Additional software development certifications (e.g., Microsoft Certified Developer/Architect) are a plus.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong expertise in designing and delivering AI-driven solutions.
 </li>
 <li>
 Proficiency in AI concepts, tools, frameworks, and models.
 </li>
 <li>
 Experience with solution architecture methodologies, including evaluation techniques, component modeling, and impact analysis.
 </li>
 <li>
 Solid understanding of SDLC, requirements analysis, and technical design (high-level and detailed).
 </li>
 <li>
 Hands-on experience with Azure AI Foundry for enterprise AI lifecycle management.
 </li>
 <li>
 Expertise in Google Agent Builder, SDKs for mobile agents, and multi-agent systems.
 </li>
 <li>
 Strong knowledge of Advanced Retrieval-Augmented Generation (RAG) for enterprise knowledge systems.
 </li>
 <li>
 Proficiency in data and database architecture (SQL, NoSQL, vector databases, knowledge graphs).
 </li>
 <li>
 Ability to design secure, scalable, and high-performance AI systems.
 </li>
 <li>
 Excellent communication skills to bridge technical and business stakeholders.
 </li>
 </ul>
 
 
</div>

AI Architect

The Optimal Group

<div>
 
 JOB TITLE:
 
 AI Architect
 
 
 
 LOCATION
 
 : Dubai, UAE (On-site / Hybrid)
 
 
 
 TYPE
 
 : Full-Time
 
 
 
 SALARY
 
 : AED 25,000 - 35,000/month (DOE) + Performance Bonus
 
 
 
 About The Role
 
 
 
 We are looking for a high-calibre AI Architect to lead the design, development, and deployment of AI-driven systems and solutions across our business. This is a senior, hands-on role that sits at the intersection of strategy and execution. You will be responsible for translating business objectives into scalable AI architecture, building intelligent automation systems, and driving our AI roadmap from concept to production.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement end-to-end AI architecture including machine learning pipelines, LLM integrations, and agentic AI systems
 </li>
 <li>
 Lead the evaluation, selection, and deployment of AI platforms, models, and tools
 </li>
 <li>
 Build and integrate AI solutions into existing infrastructure and business workflows
 </li>
 <li>
 Develop frameworks for AI governance, performance monitoring, and continuous improvement
 </li>
 <li>
 Collaborate with operations, product, and leadership teams to identify AI opportunities and prioritise delivery
 </li>
 <li>
 Research emerging AI technologies and provide strategic recommendations
 </li>
 <li>
 Ensure all AI systems comply with data security, privacy, and regulatory standards
 </li>
 <li>
 Document architecture decisions, system designs, and technical specifications
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 5+ years of experience in AI/ML architecture, solutions architecture, or a related senior technical role
 </li>
 <li>
 Proven experience designing and deploying production-grade AI systems
 </li>
 <li>
 Strong proficiency in Python, and familiarity with major AI/ML frameworks (TensorFlow, PyTorch, LangChain, etc.)
 </li>
 <li>
 Hands-on experience with LLMs, RAG systems, and agentic AI frameworks
 </li>
 <li>
 Cloud architecture experience: AWS, Azure, or GCP
 </li>
 <li>
 Experience with API integration, microservices, and scalable system design
 </li>
 <li>
 Strong commercial awareness &mdash; you understand how AI translates to business value
 </li>
 <li>
 Excellent communication skills &mdash; ability to present technical solutions to non-technical stakeholders
 
 
 </li>
 </ul>
 
 NICE TO HAVE
 
 
 
 <ul>
 <li>
 Experience in property, construction, or facilities management sectors
 </li>
 <li>
 Familiarity with AI automation tools (n8n, Make, Zapier AI, etc.)
 </li>
 <li>
 UAE residency or existing Dubai visa
 </li>
 <li>
 Arabic language skills (not essential)
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive tax-free salary: AED 25,000 - 35,000/month
 </li>
 <li>
 Performance-based bonus
 </li>
 <li>
 High-autonomy role with direct access to senior leadership
 </li>
 <li>
 Fast-moving, execution-focused environment
 </li>
 <li>
 Opportunity to build and own the AI function from the ground up
 </li>
 </ul>
</div>

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you passionate about Machine Learning, Deep Learning, and Artificial Intelligence? Join AWS as a Generative AI and Machine Learning Specialist Solutions Architect in the MENAT region, where you'll drive cutting-edge AI initiatives and business transformation. As a Subject Matter Expert for designing machine learning solutions, you'll leverage AWS services to automate solutions and reduce costs for customers.
 
 
You'll partner closely with GenAI/ML specialist sales teams along with field teams to enable large-scale customer use cases and drive adoption of AWS GenAI/ML solutions. Your expertise will shape machine learning architectures, develop technical assets, and create field enablement materials that help other Solutions Architects integrate AWS GenAI/ML solutions into customer environments. This role offers an exciting opportunity to be at the forefront of GenAI innovation in a region implementing numerous transformative AI initiatives. 
 
Key job responsibilities 
<ul><li>Design and architect scalable, secure, and innovative GenAI solutions that leverage AWS services to solve complex customer challenges and drive business transformation.</li><li>Build and maintain technical trusted advisor relationships with influential technical decision makers for successful adoption and deployment of AWS GenAI/ML services and technologies.</li><li>Evangelize current and future AWS GenAI and ML services through white papers, blogs, reference implementations, and presentations to enable customers and partners.</li><li>Capture and share best-practice knowledge amongst the AWS solutions architect community, creating field enablement materials for the broader SA population.</li><li>Work collaboratively with sales teams to create and execute business plans that accelerate AWS adoption, exceed revenue goals, and drive customer satisfaction with GenAI/ML solutions.</li></ul> 
A day in the life 
Your day begins with a technical deep dive with a customer's AI team to understand their GenAI requirements and propose architecture solutions using Amazon Bedrock and SageMaker. Later, you'll collaborate with sales colleagues on business plans for driving AI adoption, then spend time developing a reference architecture for a RAG solution that addresses common customer needs. You might finish by drafting a technical blog on implementing ML solutions or conducting a workshop to demonstrate AI capabilities to potential customers. 
 
About the team 
You'll join AWS's innovative team in the MENAT region where numerous AI initiatives are being driven. As part of the AGS MENAT Specialist organization, you'll work alongside talented technical professionals who are transforming how businesses leverage AI technologies. The team fosters an inclusive culture that values continuous learning and professional growth, providing opportunities to collaborate on groundbreaking projects that shape the future of AI adoption across diverse industries in the region.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2>
- - Bachelor's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 5+ years of professional or military experience 
- - 10+ years of working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience 
- - Experience building services using AWS products 
- - Experience with large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and agentic workflows. 
- - Proficiency in Python and experience with GenAI frameworks (LangChain, LlamaIndex, etc.) and model APIs. 
- - Experience participating in the sales lifecycle (directly or indirectly) for GenAI solutions. 
- - Experience in leading executive briefings and customer workshops focused on GenAI strategy, use case development, and prototype demonstrations.<h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2>
- - Master's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD 
- - Experience prioritizing competing demands, scoping large efforts, and negotiating timelines 
- - Experience with enterprise-scale infrastructure or development-based cloud programs/projects in a related industry 
- - Experience conveying complex technical concepts to both technical and business audiences 
- - Publications or presentations in recognized GenAI, NLP, or ML journals or conferences. 
- - Hands-on experience architecting and deploying production GenAI solutions in secure or regulated environments. 
- - Deep technical expertise with AWS GenAI services including Amazon Bedrock (Claude, Llama, Titan models), Amazon SageMaker JumpStart, Amazon Q, and related AWS services (Lambda, Step Functions, ECS/EKS, API Gateway). 
- - Experience with GenAI security patterns, responsible AI practices, and model governance. 
- - Ability to collaborate with global/enterprise account sales and delivery teams to drive adoption of GenAI Solutions into top accounts. 
- - Ability to think strategically about business, product, and technical problems in the GenAI space and develop strategic, data-driven approaches. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Solutions Architect III, AGS MENAT Specialist Team

Max Accelerate Technology Group

<div>
 
 Location:
 
 Remote (Global)
 
 
 
 Engagement:
 
 Ongoing | weekly Workshops + Advisory
 
 
 
 Company:
 
 MaxAccelerate Technology Group / Kompetenza Innovation
 
 
 
 Overview
 
 
 
 We are building one of the most forward-thinking AI-powered Salesforce practices in the market.
 
 
 Our focus is simple:
 
 move organisations from traditional CRM delivery to AI-first operating models
 
 , powered by Agentforce, automation, and intelligent workflows.
 
 
 To support this, we are looking for a
 
 highly experienced Agentforce Trainer / Salesforce AI Consultant
 
 to work closely with our internal team of Salesforce developers, architects, and product leaders.
 
 
 This is not a standard consulting role.
 
 
 This is about
 
 shaping how a global team thinks, designs, and delivers AI-driven Salesforce solutions.
 
 
 
 
 
 The Role
 
 
 
 
 You will act as a
 
 hands-on expert and trainer
 
 , delivering structured workshops and real-world guidance to enable our teams to:
 
 
 <ul>
 <li>
 Design and build Agentforce-powered AI agents
 </li>
 <li>
 Translate business requirements into AI-driven use cases
 </li>
 <li>
 Implement end-to-end intelligent workflows across Salesforce
 </li>
 <li>
 Shift from traditional development to AI-first solution architecture
 
 
 </li>
 </ul>
 You will play a key role in
 
 upskilling our entire Salesforce capability
 
 .
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Deliver monthly hands-on workshops for Salesforce developers and architects
 </li>
 <li>
 Train teams on Agentforce architecture, capabilities, and best practices
 </li>
 <li>
 Support the design and build of real-world AI use cases, including:
 </li>
 <ul>
 <li>
 AI SDR (Sales Development Representative) agents
 </li>
 <li>
 Customer Service / Support agents
 </li>
 <li>
 Onboarding and operations agents
 </li>
 </ul>
 <li>
 Guide teams on prompt design, orchestration, and agent workflows
 </li>
 <li>
 Provide advisory on scaling AI solutions across enterprise environments
 </li>
 <li>
 Review and improve existing implementations and use cases
 </li>
 <li>
 Help define internal frameworks, accelerators, and best practices
 
 
 </li>
 </ul>
 
 Required Experience
 
 
 
 <ul>
 <li>
 Proven experience working with Agentforce (Salesforce AI Agents)
 </li>
 <li>
 Demonstrated experience building multiple AI agents end-to-end
 </li>
 <li>
 Strong background as a Salesforce Consultant / Architect
 </li>
 <li>
 Hands-on delivery of AI use cases such as:
 </li>
 <ul>
 <li>
 Sales automation / SDR agents
 </li>
 <li>
 Customer service automation
 </li>
 <li>
 Workflow automation using AI
 </li>
 </ul>
 <li>
 Deep understanding of:
 </li>
 <ul>
 <li>
 Salesforce platform (Sales Cloud, Service Cloud, Experience Cloud)
 </li>
 <li>
 AI-driven workflows and automation
 </li>
 <li>
 Prompt engineering and agent orchestration
 </li>
 </ul>
 <li>
 Ability to train, mentor, and communicate complex concepts clearly
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 Someone who is genuinely AI-first in their thinking
 </li>
 <li>
 A practitioner &mdash; not just theory, but real-world delivery experience
 </li>
 <li>
 Strong communicator who can lead workshops and influence senior teams
 </li>
 <li>
 Passion for building scalable, intelligent solutions
 </li>
 <li>
 Ability to work in a fast-moving, high-growth environment
 
 
 </li>
 </ul>
 
 
 Why This Role
 
 
 
 
 <ul>
 <li>
 Work with a global AI and Salesforce innovation team
 </li>
 <li>
 Be part of building next-generation AI products and services
 </li>
 <li>
 Influence how AI is delivered across multiple industries and markets
 </li>
 <li>
 Long-term opportunity with consistent engagement and impact
 </li>
 <li>
 Direct involvement in cutting-edge Agentforce implementations
 
 
 </li>
 </ul>
 
 
 Engagement Model
 
 
 
 
 <ul>
 <li>
 Ongoing contract / advisory role/Perm
 </li>
 <li>
 Monthly workshop delivery (core requirement)
 </li>
 <li>
 Additional involvement in solution design and strategic initiatives
 </li>
 </ul>
</div>

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