ai architect

Streamline Healthcare Solutions

<div>Job Description:
<div>About Streamline Healthcare Solutions
</div><div><div><div><div><div><div><div><div><div>Here at Streamline, we strive on building lasting and trusting relationships with our clients, and our employees set the bar.
Streamline&rsquo;s mission is to build innovative technology solutions that empower people who improve behavioral health and quality of life of those in need. We are a high growth technology company that delivers web-based software for healthcare organizations to provide and coordinate all service delivery processes. Streamline has been offering software in the behavioral health marketplace since 2003. Streamline has built and maintains systems for some of the nation&rsquo;s premier behavioral health organizations using the latest web-based technology.
Streamline offers competitive compensation and benefits packages as well as a challenging, yet flexible, work environment that is conducive to collaboration and productivity. A career with Streamline Healthcare Solutions provides opportunities for growth and continued learning in a workplace where individual contribution is valued and recognized. Join us, and advance your career today with a company that is on the cutting edge of the behavioral healthcare technology industry.
Summary of the AI Architect
</div></div></div></div></div></div></div></div></div>The AI Architect owns the enterprise AI architecture, standards, and governance for healthcare-grade solutions&mdash;establishing reference patterns, platforms, and guardrails that product teams use to safely and efficiently deliver LLM applications, RAG systems, and ML services. This role partners with Security/Compliance, Data/Platform, and Product leaders to ensure HIPAA-aligned handling of PHI/PII, Responsible AI practices, and measurable clinical and business outcomes. The ideal candidate brings deep Azure experience (including Azure AI Foundry / Azure AI Studio), broad knowledge of OpenAI or Anthropic models, and proven enterprise architecture leadership.
This position is remote and based in the United States. The salary range is $150,000 - $200,000, DOE. Employment visa sponsorship is not available for this role.
Responsibilities of the AI Architect
Enterprise Architecture &amp; Standards
<ul><li>Define and maintain reference architectures for LLM applications, RAG patterns, classical ML, and AI-enabled services across the organization.
</li><li>Establish solution blueprints for embeddings/vector search, prompt orchestration, guardrails/safety layers, evaluation frameworks, lineage, and observability.
</li><li>Publish SLO/SLA templates, token/GPU budget rules, multi-tenancy/isolation approaches, and cost governance playbooks.
</li></ul>Platform &amp; Tooling
<ul><li>Own platform and tooling selection for Azure AI (Azure AI Foundry/Studio, Azure OpenAI, Azure AI Search, Azure ML), Databricks (Delta Lake, MLflow), and orchestration (Airflow or Azure Data Factory).
</li><li>Define standard patterns for vector databases (e.g., Azure AI Search, Pinecone, FAISS), feature store usage, and data ingestion/streaming.
</li><li>Provide reference implementations and reusable accelerators (RAG starter kit, evaluation harness, prompt library, safety policies).
</li></ul>Security, Compliance &amp; Responsible AI
<ul><li>Embed PHI/PII safeguards and HIPAA-aligned controls into SDLC and CI/CD gates; standardize data boundaries, de-identification/anonymization (e.g., Presidio), Key Vault, encryption, RBAC, and auditability.
</li><li>Define and operationalize Responsible AI requirements (bias/fairness evaluations, model cards, data sheets, red-teaming) as release criteria.
</li><li>Partner with Security/Compliance on risk assessments, release approvals, and policy updates; review high-risk use cases
</li></ul>Solution Governance &amp; Reviews
<ul><li>Lead the AI Architecture Review process; manage deviations from standards with an exception register and migration plans.
</li><li>Advise squads on prompt design, tool/function calling, grounding/RAG strategies, evaluation design (hallucination, safety, utility), and observability (latency, accuracy, drift, cost).
</li></ul>Collaboration &amp; Enablement
<ul><li>Collaborate with Lead AI Software Engineers, data scientists, and platform teams to land architectures in production.
</li><li>Mentor teams in Azure AI Foundry, OpenAI/Anthropic model usage, Microsoft Copilot, and GitHub Copilot&mdash;including governance and data leakage prevention.
</li><li>Run communities of practice, internal training, and publish architecture decision records (ADRs) and technical standards.
</li></ul>Education and Experience Requirements for the AI Architect
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Computer Information Systems, Health Informatics, or a related field.
</li><li>10+ years in software/solution architecture with 5+ years in AI/ML systems and 2+ years leading enterprise AI architecture or platform initiatives.
</li><li>Enterprise cloud architecture (Azure): Azure AI Foundry (Azure AI Studio), Azure OpenAI, Azure AI Search, Azure ML, Azure Key Vault, networking/IAM, encryption, logging/monitoring.
</li><li>Hands-on architectural experience with OpenAI or Anthropic models (e.g., GPT‑4.x/4o, Claude 3.x): prompt &amp; tool calling patterns, grounding/RAG, evaluation methodologies.
</li><li>Demonstrated Responsible AI leadership: guardrails, safety filters, bias/fairness evaluations, model cards/datasheets, and red-teaming processes.
</li><li>Security &amp; privacy familiarity: PHI/PII protections and HIPAA-aligned design patterns; ability to translate policy into technical controls and CI/CD checks.
</li><li>Data platform fluency: Databricks (Delta Lake, MLflow), Spark, orchestration (Airflow or Azure Data Factory/Synapse), and data governance (e.g., Purview).
</li><li>MLOps standards: model registry, CI/CD for ML, environment isolation, canary/A/B testing, drift/performance/cost monitoring, rollback strategies.
</li><li>Strong understanding of SQL Server data modeling and performance; able to guide teams using SSMS and review T‑SQL patterns for AI data workloads.
</li><li>Familiarity with Visual Studio and .NET integration patterns to ensure AI services fit the enterprise application ecosystem.
</li><li>Experience enabling secure, governed use of Microsoft Copilot and GitHub Copilot in engineering workflows.
</li><li>Excellent communication and influence skills; proven success leading architecture reviews and driving cross-functional decisions.
</li></ul>Preferred Education and Experience Requirements for the AI Architect
<ul><li>Healthcare domain knowledge (clinical or revenue cycle management): FHIR/HL7, EHR/claims data integration, and clinical NLP (entity extraction, summarization, coding/RCM use cases).
</li><li>Inference optimization: GPU/CUDA, quantization/distillation, caching strategies, prompt/token budgeting, multi-tenant cost control.
</li><li>Security/compliance certifications (e.g., HCISPP, CISSP) or demonstrable leadership in healthcare-grade architectures.
</li><li>Track record of creating reusable accelerators/libraries/platform capabilities adopted across multiple teams.
</li><li>Governance &amp; ethics: model cards, datasheets for datasets, bias/fairness evaluations, and red-teaming.
</li><li>Familiarity with .NET microservices and API design to integrate AI services into enterprise systems. 
</li></ul> 
Streamline Healthcare Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin, or any other characteristic protected under federal, state, or applicable local law.</div>

AI Architect

Nagarro

<div>
 
 Job Description
 
 
 
 We are seeking an
 
 AI Architecture Leader
 
 to design and govern enterprise-scale AI ecosystems for major UAE clients. This role combines
 
 technical leadership, solution design, and strategic advisory
 
 , focusing on
 
 Generative AI, agentic systems, and cloud-native engineering
 
 .
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Define enterprise AI operating models, governance, and architectural standards.
 </li>
 <li>
 Lead multi-year AI transformation roadmaps and platform modernization.
 </li>
 <li>
 Architect end-to-end AI ecosystems: LLM agents, RAG workflows, multimodal AI, RLHF.
 </li>
 <li>
 Establish modular, reusable patterns for scalable and compliant AI platforms.
 </li>
 <li>
 Partner with business and tech leaders to shape AI strategy and value propositions.
 </li>
 <li>
 Conduct technical workshops, pre-sales reviews, and solution design sessions.
 
 
 </li>
 </ul>
 
 Must-Have Skills:
 
 
 
 <ul>
 <li>
 AI Application Solution Design (Strong)
 </li>
 <li>
 Cloud-Native GenAI Development (Strong)
 </li>
 <li>
 Data Science on Azure (Strong)
 </li>
 <li>
 Machine Learning Solution Design (Strong)
 </li>
 <li>
 Advanced RAG Workflow Design (Strong)
 </li>
 <li>
 Hands-on Python and experience with agentic GenAI systems.
 
 
 </li>
 </ul>
 
 Nice-to-Have:
 
 
 
 <ul>
 <li>
 Experience with Compass AI services.
 </li>
 <li>
 Arabic language proficiency (verbal &amp; written).
 
 
 </li>
 </ul>
 Join us to
 
 shape enterprise AI architecture and accelerate digital transformation across the UAE
 
 .
</div>

Enterprise AI Architect

onsemi

<div>Do you enjoy tackling complex problems that blend AI, cloud, data, and cybersecurity into unified, resilient architectures? Are you energized by building capabilities from the ground up, shaping governance, and guiding organizations through transformational technology shifts? Join us and play a defining role in securing AI technologies that power our growth, empower our teams, and ensure the safety and integrity of our global operations.
We are seeking an AI Cybersecurity Architect with a primary focus on enabling teams to deliver AI-enabled technical solutions collaboratively across Business, IT, Engineering, and Data Science groups. This role is centered on co-designing scalable and secure architectures that align technology, people, and processes to achieve business outcomes. A major responsibility is advising and supporting the AI Architecture Technical Committee by evaluating solution designs, assessing risks, and enabling informed decisions on the safe and strategic use of AI across the enterprise.</div>
 <div><ul><li>Responsibilities</li></ul></div>
 <div>Collaborative Solution Delivery
<ul><li>Partner with Business, IT, Engineering, and Data Science teams to co-design secure, scalable, and AI technical solutions.
</li><li>Facilitate collaborative architecture sessions, workshops, and design sessions to guide teams toward well-informed architectural decisions.
</li><li>Translate architectural considerations into clear execution steps that empower delivery teams and accelerate solution deployment.
</li><li>Help teams navigate ambiguity by clarifying tradeoffs across technology, people, and process dimensions.
</li></ul>AI Architecture Technical Committee Enablement
<ul><li>Serve as a trusted advisor by preparing architectural evaluations, risk assessments, and decision frameworks for Committee review.
</li><li>Contribute to enterprise AI guardrails, patterns, and reference architectures that ensure safe and responsible AI adoption.
</li><li>Support Committee decision-making through clear communication of risks, options, and implications across stakeholders.
</li><li>Ensure Committee decisions are socialized across teams and embedded in delivery practices.
</li></ul>People &amp; Process Leadership
<ul><li>Shape and improve architecture governance processes including intake, review, and lifecycle management.
</li><li>Develop templates, checklists, and reusable patterns that simplify responsible AI solution delivery.
</li><li>Mentor architects, engineers, and data scientists on design practices, governance expectations, and communication skills.
</li><li>Promote collaboration, transparency, and accountability across cross-functional teams.
</li></ul>Leveraging AI to Improve Cybersecurity
<ul><li>Identify opportunities where AI can enhance cybersecurity automation, anomaly detection, and threat intelligence.
</li><li>Provide guidance on safe integration of AI into security workflows, addressing risks such as data leakage and unsafe automation.
</li><li>Develop secure patterns for connecting AI systems with SIEM, SOAR, EDR, and XDR platforms.</li></ul></div>
 <div><ul><li>Qualifications</li></ul></div>
 <div>Required Qualifications:
<ul><li>8+ years in technology/cybersecurity roles with at least 4 years in architecture.
</li><li>Experience co-developing solution designs with Business and IT partners.
</li><li>Strong facilitation and communication skills to lead cross-functional collaboration.
</li><li>Experience designing and implementing AI-enabled architectures and creating architecture artifacts.
</li><li>Understanding of AI/ML concepts and responsible AI practices.
</li><li>Knowledge of scripting languages such as Python or PowerShell, and experience with automation tools (e.g., Terraform)
</li><li>Understanding of security frameworks and standards including NIST, SOC, and ISO 27001
</li><li>Strong familiarity with AI regulations, AI security frameworks, and emerging AI assurance standards
</li><li>Experience implementing or architecting AI, ML, or automation technologies within IAM or broader cybersecurity domains
</li></ul>Preferred Qualifications:
<ul><li>Certifications such as CISSP, CCSP, SABSA, CRISC.
</li><li>Experience with AI governance frameworks and architecture committees.
</li><li>Background in technology strategy, architecture governance, or security research.
</li><li>Education: BS/MS preferred</li></ul></div>
 <div></div><div><div><div>About Us</div></div></div>
 <div><div>onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world&rsquo;s most complex challenges and leads the way in creating a safer, cleaner, and smarter world. 
 
</div><div></div> 
<div><div>More details about our company benefits can be found here:
</div><div>https://www.onsemi.com/careers/career-benefits</div></div></div>
 <div></div><div><div>About the Team</div></div>
 <div>We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work. 
<div></div> 
 
<div>onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws. 
</div><div></div> 
<div>If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.</div></div>

Cybersecurity AI Architect

Fusion Cortex

Job Title: AI Architect &amp; Technical LeadLocation: Johar Town, Lahore Experience: 5+ Years (Full-Stack Development &amp; Systems Architecture) Technology Stack: TypeScript/Node.js, React, Vector Databases, Cursor/Vibe-Native Tools, Python/FastAPIThe MissionWe are a fast-moving AI venture leveraging the &ldquo;Vibe Coding&rdquo; revolution to build MVPs at exceptional speed. We are seeking a Founding AI Architect &amp; Technical Lead who can embrace this rapid development pace while ensuring our systems remain structured, scalable, and secure.You will lead a passionate team of junior developers, mentoring them on how to effectively use AI development tools (Cursor, Lovable, Claude) while maintaining strong engineering discipline, architectural consistency, and production readiness.Key ResponsibilitiesAI Development OrchestrationDefine and maintain development standards for AI-assisted coding, including frameworks such as .cursorrules, prompt libraries, and system prompts, ensuring AI-generated code aligns with our architectural and security standards.Hybrid Data ArchitectureDesign and oversee a scalable hybrid data ecosystem that integrates:&middot; Relational databases (PostgreSQL / MySQL) for application portals&middot; Vector databases (Pinecone, Weaviate, pgvector) for RAG systems and AI pipelines&middot; NoSQL or unstructured storage for model training datasetsAI-Driven Engineering MentorshipLead developers through pair programming and AI-assisted development workflows, teaching best practices for prompt engineering and code validation while maintaining clean, modular backends using Node.js/TypeScript and Python/FastAPI.Infrastructure &amp; ReliabilityTransform AI-generated prototypes into production-ready microservices, implementing Dockerized architectures that are secure, scalable, and reliable.Data Pipeline OversightCollaborate closely with the data scraping and data engineering team to ensure collected datasets are clean, structured, and high-quality for both marketing platforms and AI model training/fine-tuning pipelines.Required Technical Expertise Full-Stack EngineeringExpert-level experience with:&middot; React (Frontend Development)&middot; Node.js / TypeScript (Backend Systems)AI-Native DevelopmentHands-on expertise with modern AI development tools such as:&middot; Cursor , Claude &amp; LovableYou view AI as a force multiplier for engineering productivity, not a shortcut that replaces sound engineering practices.Database &amp; Data ArchitectureStrong experience with:&middot; PostgreSQL or MySQL&middot; Vector databases (Pinecone, Weaviate, pgvector)&middot; Data modeling for hybrid AI + application architecturesDevOps &amp; SecurityPractical experience with:&middot; Docker and containerized microservices&middot; Production infrastructure practices&middot; Security auditing of AI-generated code&middot; Secure API design and system hardeningThe Ideal Candidate:&middot; 5+ years of professional software engineering experience&middot; Maintains a strong builder / hacker mindset&middot; Enjoys mentoring developers and pair programming&middot; Comfortable operating in startup environments with evolving requirements&middot; Thrives in phase-wise product delivery and rapid iteration cyclesEngineering Philosophy Code Quality:AI-generated code is treated as a first draft, not the final product. Every output must be reviewed, refactored, and validated for maintainability and security.Scalability: Even early MVPs should be designed with the potential to scale to 100,000+ users.Efficiency: Success is measured by the team&rsquo;s iteration velocity combined with production stability and reliability.Job Type: Full-timePay: Rs300,000.00 - Rs500,000.00 per monthWork Location: In person

AI Architect & Technical Lead

<div><h2 class="jobSectionHeader">Principal Data &amp; AI Architect
</h2><div><ul><li>Location(s):
</li><li>Chicago, IL, US, 60654
</li>Austin, TX, US, 78701 
<li>
</li></ul></div><div> 
RWE Americas, LLC
 
To start as soon as possible, full time, permanent
 
 
Functional area: IT / Digital
 
Remuneration: Exempt
The AI/Data Platform Architect is a hands-on technical role responsible for designing and implementing the end-to-end architecture that enables secure, scalable, and production-grade AI and data solutions across the enterprise. This role translates business and AI product requirements into production-ready technical designs, ensuring interoperability, reliability, reusability, and alignment with enterprise architecture, cybersecurity, data governance, and responsible AI standards.
Role Responsibilities:
<ul><li>Design, implement, and maintain the target-state architecture for the enterprise AI and data platform, including cloud infrastructure, data pipelines, MLOps workflows, model deployment, and monitoring frameworks
</li><li>Architect solutions involving advanced AI patterns such as RAG frameworks, vector databases, agentic workflows, MCP-based integrations, and predictive models
</li><li>Define architectural standards, integration patterns, and reusable design principles that enable scalable, modular, and maintainable AI solution development
</li><li>Partner with product teams, data engineers, and IT/OT to translate use case requirements into robust, production-ready technical designs
</li><li>Evaluate and recommend technologies, tools, and frameworks to support evolving AI, data, and analytics capabilities
</li><li>Provide technical leadership and oversight during implementation, conducting architecture reviews and resolving complex design challenges
</li><li>Ensure all designs align with enterprise architecture, cybersecurity, data governance, and responsible AI policies
</li></ul>Job Requirements and Experiences:
<ul><li>Master&rsquo;s or PhD degree in computer science, data science, STEM, or related field required
</li><li>Minimum 11 years of professional experience with minimum 5 years of experience in platform architecture, cloud architecture, data engineering, or related technology roles within enterprise environments, including at least 5 years of hands-on experience in AI/ML engineering or data architecture roles, with demonstrated ability to design and deliver production-grade AI solutions in enterprise or cloud-native environments
</li><li>Deep hands-on expertise in AI/ML engineering, including experience building and deploying models, pipelines, and supporting infrastructure
</li><li>Prior experience architecting solutions involving RAG frameworks, vector databases, prompt engineering, agentic workflows, and predictive models
</li><li>Strong systems thinking with the ability to design scalable, secure, and modular architectures across data and AI layers
</li><li>Working knowledge of data engineering fundamentals: data modeling, pipeline orchestration, and data quality
</li><li>Understanding of data governance, cybersecurity, and responsible AI design principles
</li><li>Ability to translate business requirements into clear architectural blueprints and technical standards
</li><li>Clear, structured communication skills to engage both technical teams and senior stakeholders effectively
</li><li>Advanced problem-solving skills in complex, distributed technical environments
</li><li>This position is an office-based role with some travel and visits to other RWE Americas office and field locations
</li><li>Must be able to sit, walk, or stand for long durations of time
</li></ul>Applicants must be legally authorized to work in the United States. RWE Americas is unable to sponsor or take over sponsorship of employment visas at this time.
Pay range: The annual base salary range for this position in Illinois is $155,000- $200,000. The listed salary range represents our good faith estimate for this position and represents the range for new hire salaries across all U.S locations. Please note that the salary information is a general guideline only. RWE considers factors such as (but not limited to) scope and responsibilities of the position, candidate&rsquo;s education &amp; work experience, training &amp; certifications, and key skills as well as market and business considerations at the time of the offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. Eligible employees also participate in short-term incentives, in addition to salary.
Apply with just a few clicks: ad code 92012. Any questions? Contact HR: rwe_americas_recruiting@rwe.com
We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.
All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
RWE Americas, a subsidiary of RWE, is a US-based energy company that is helping to meet the growing demand for energy across the United States. Backed by RWE&rsquo;s 125-year global legacy of managing diverse power assets, RWE Americas operates approximately 13 GW of power projects across 27 states. With a talented workforce of 2,000 employees, RWE Americas develops, constructs and operates wind, solar and battery storage projects that safely deliver affordable, reliable electricity to our customers. Committed to responsible development, RWE Americas invests in local and rural communities, creating jobs and partnering with stakeholders to support and strengthen the places where we live and work. Learn more about how RWE Americas is generating impact at americas.rwe.com.
At RWE Americas, we foster a culture defined by our Essential Behaviors &ndash; Have Courage, Create Impact and Actively Collaborate. We encourage bold thinking and continuous learning, and we value ownership, resilience and inclusion in everything we do. When you join us, you become part of a team that supports your development, respects your contributions and celebrates shared success. This is a place where you can grow your career and make a meaningful difference.</div></div>

Principal Data & AI Architect

Deloitte

<div>
 
 AI Architect, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established by Deloitte North &amp; South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 
 
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 
 
 
 Connect to your opportunity.
 
 
 
 The team sits within AI &amp; Data consulting group. You&rsquo;ll be working on a range of initiatives and projects across different sectors.
 
 
 Our projects vary greatly and your responsibility as a consultant will differ based on the focus of the client engagement and your skillset.
 
 
 As an AI Architect, your role will be to develop the AI architecture strategy, supporting our clients to design, implement and operate scalable architectures that support the effective deployment of AI models. You will play a critical role in designing and delivering innovative architectures that seamlessly integrate AI solutions with existing enterprise systems.
 
 
 You are an exceptional communicator, able to articulate complex technical concepts to both technical and non-technical stakeholders with ease. You have a strong ability to collaborate and work effectively in a team environment, leveraging the strengths of others to achieve common goals. You are outcome focused and have a desire to be pragmatic in your approach to designing and delivering high-quality solutions that meet or exceed client expectations.
 
 
 
 Responsibilities Include
 
 
 
 <ul>
 <li>
 Translate the vision of senior client stakeholders and senior Deloitte architects into the AI/ML/GenAI architectural strategy and implementation roadmap, ensuring alignment with strategic goals and digital transformation efforts.
 </li>
 <li>
 Collaborate with Enterprise, Application, Data &amp; DevOps Architects, Data scientists, MLOps &amp; GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.
 </li>
 <li>
 Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.
 </li>
 <li>
 Support the successful execution and operational improvement of AI-powered applications using agile methodology.
 </li>
 <li>
 Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.
 </li>
 <li>
 Assist project teams with technical review boards and design authority approvals, ensuring compliance with data privacy, security and regulatory requirements in AI solution design and implementation.
 </li>
 <li>
 Develop and maintain contact with client stakeholders and contribute to proposal development.
 </li>
 <li>
 Manage diverse teams within an inclusive team culture where people are recognized for their contribution.
 </li>
 <li>
 Develop the capability of junior team members through &lsquo;on the job&rsquo; training and formal development programmes.
 
 
 </li>
 </ul>
 At Deloitte we believe the best impact is the value we add, not the hours we sit at our desk. We carefully consider agile ways of working, both formal and informal, that allow for the best impact for our people and our clients. Please speak to your recruiter about the working pattern that works best for you.
 
 
 
 Connect To Your Skills And Professional Experience.
 
 
 
 We are looking for candidates who are able to demonstrate skills and experience in some of the following.
 
 
 All candidates must hold a BSc of computer engineering or equivalent and have 7+ years of experience in data science and analytics.
 
 
 
 Essential
 
 
 
 <ul>
 <li>
 Experience in architecture related disciplines.
 </li>
 <li>
 Background in data science with good understanding of concepts relevant to AI/ML.
 </li>
 <li>
 Experience in implementing cloud-based AI/ML workloads across one or more CSPs or third-party vendor technologies, including Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock and Sagemaker, Dataiku, Databricks, Snowflake SnowPark and Snowflake Cortex, Data Robot.
 </li>
 <li>
 Experience in architecting scalable, performant &amp; cost optimized AI/ML solutions leveraging; serverless technologies, container / Kubernetes based deployments, GPU compute infrastructure.
 </li>
 <li>
 Working knowledge of generative AI and hands on experience in deploying and hosting Large Foundational Models.
 </li>
 <li>
 Experience with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning, Retrieval Augmented Generation techniques and Context embedding, Vector database technologies and Semantic Search techniques &amp; tools.
 </li>
 <li>
 Experience in writing robust and efficient code in Python.
 </li>
 <li>
 Experience in using tools related to deep learning like PyTorch, TensorFlow, LangChain.
 </li>
 <li>
 Experience in designing &amp; implementing key MLOps capabilities &amp; frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ML model deployments.
 </li>
 <li>
 Knowledge in developing and integrating APIs especially related to serve ML models.
 </li>
 <li>
 Knowledge on building solutions that are integrated with the enterprise to deliver end-to-end solutions.
 </li>
 <li>
 Experience in working within an architecture function and presenting architectural designs to a variety of stakeholders (incl. Technical Design Authorities or Architecture Boards).
 </li>
 <li>
 Ability to demonstrate senior stakeholder management skills and collaborate effectively with multidisciplinary teams.
 </li>
 <li>
 Ability to bring teams together and leading technical programmes to drive success through applying coaching, facilitation, stakeholder management and expectation management capabilities.
 </li>
 <li>
 Strong communication and collaboration abilities, with the capability to work effectively with cross-functional teams and stakeholders.
 </li>
 <li>
 Ability to contribute to &lsquo;go-to-market&rsquo; activities such as responding to RFI / RFPs and developing high-quality proposal materials.
 
 
 </li>
 </ul>
 Desirable
 
 
 <ul>
 <li>
 Advanced degrees in Computer Science or Data Science or equivalent.
 </li>
 <li>
 Professional certifications in AI/ML technologies and Cloud platforms.
 
 
 </li>
 </ul>
 
 Connect to your service line - Technology and Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Connect to your Industry.
 
 
 
 &ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organizations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo; Dan, Technology &amp; Transformation
 
 
 
 Personal independence.
 
 
 
 Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.
 
 
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
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 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
</div>

Deloitte Innovation Hub I AI Architect, Cairo, Egypt

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The D360 aka Data Cloud specialist team is an innovative group of sellers and GTM specialists at the heart of Salesforce&rsquo;s newest innovation - D360. We are a startup within an extensive organization focused on next-generation of technology at Salesforce. This dedicated team helps Salesforce customers and prospects develop and implement strategies to take their Customer Experience efforts to a new level with Data + AI + CRM + Trust. This team is at the center of our GTM strategy connecting the dots between the D360 Product team, Product Marketing, Enablement, Customer Success &amp; Support, and Partners Ecosystem to drive growth for D360. It is a dynamic, constantly evolving environment where expertise in design, and technology is demonstrated every day to drive innovation.
Role Description
The D360 Technical Architect plays a pivotal role in developing innovative solutions for our customers across a variety of industries. You will work closely with Account Executives, Solutions Engineering, Product, and Product Marketing teams to provide deep technical domain expertise during the pre and post-sale process.
Our D360 customers are only as successful as the value they derive from the platform. You will play a key role in ensuring D360 is the right fit, help them prioritize the most valuable D360 use cases, and provide technical architecture best practices to drive product adoption.
You will collaborate with the broader global D360 team to develop use cases, demos, sales plays, and technical thought leadership. You will also have a meaningful role in driving our Product Roadmap forward and serve as a key advisor to the Product organization sharing innovative ideas and feedback from customers
It is important to have a solid technical grasp of the CRM, Modern Data Stack, Analytics &amp; BI, CRM and AI (Generative and Predictive) landscape and the ability to effectively communicate our offerings to potential clients.
Key Responsibilities
<ul><li>Solve Business Problems - Analyze complex business problems by conducting research and assessments to define the problem, generate innovative ideas, see opportunities, and recommend actionable solutions.
</li><li>Drive Innovation &amp; Customer Adoption - Bring structure to the client's decision-making process by communicating and evaluating solution options, and facilitating agreement among key stakeholders that helps customers prioritize high-value solutions, driving business impact.
</li><li>Connect the &ldquo;Art of the Possible&rdquo; - Assist Solutions Engineers with delivering software demonstrations, rapid prototyping, and storytelling to show how connected experiences come to life with the Salesforce D360 &amp; Salesforce CRM.
</li><li>Cross Platform Collaboration - You will use your understanding of customers&rsquo; use cases across industries and multiple technology landscapes (CRM, Modern Data Stack, Analytics &amp; BI, CRM and AI) to develop solutions across the Salesforce's technology stack.
</li><li>Provide Technical Domain Expertise - Answer in-depth D360 questions related to data governance, security, and other technical capabilities. Create architectural diagrams, write technical thought-leadership pieces (blogs, whitepapers, etc.), documentation, enablement materials to help us stay ahead of industry trends and help our customer&rsquo;s implement best practices with D360.
</li></ul>Key Requirements
<ul><li>Experience in solutions engineering/solutions architecture/technical consulting, ideally in the B2B SaaS space, particularly cloud data platforms
</li><li>Strong verbal and presentation abilities, capable of effectively communicating ideas to clients and prospective clients at all levels of an organization
</li><li>Understanding &amp; ability to articulate the relationship between Data and Customer Relationship Management, aka the Customer360
</li><li>Demonstrable ability to shift clients to alternative solutions when initial solutions are not a fit, with examples to support this. Demonstrable experience leading strategy and digital roadmap projects in a complex business environment
</li><li>Experience with Data Warehouses, Data Lakes, Cloud Technology, Business Intelligence and CRM products
</li><li>Experience in programming languages such as Javascript, Python, and SQL or Salesforce App Development with LWCs, Apex, Flow etc
</li></ul>Preferred Requirements
<ul><li>Implementation or Sales Experience in Salesforce D360 and Agentforce
</li><li>Hands on Experience on Salesforce CRM technology like Sales Cloud, Service Cloud, Marketing Cloud or any Industry Clouds
</li><li>Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science
</li><li>Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI.
</li><li>Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft Azure or Google Cloud Platform.
</li><li>Hands-on expertise with analytics tools like Tableau, PowerBI, Looker, etc
</li><li>Familiarity with data activation or &quot;reverse ETL&quot; platforms in the context of Composable Data Platforms (CDP) and integrating various marketing technologies and data tools into a cohesive system.
</li><li>Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, etc.)
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Principal Data and AI Architect

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