ai solutions architect

Rochester Regional Health

<div>Job Title: AI Solutions Architect 
Department: Emerging Technology 
Location: Riedman Campus,100 Kings Highway South, Rochester, New York 14617.Hybrid (Onsite &amp; Remote)
Hours Per Week: 40 
Schedule: Full-Time, M-F (9 am - 5 pm), On-call will be required as team and platform mature
POSITION SUMMARY: 
Architect, design, and guide delivery of AI solutions as part of Rochester Regional Health&rsquo;s enterprise AI initiative, managing and leveraging platforms such as Microsoft Copilot and Microsoft Foundry, while also being familiar with capabilities from Epic, Workday, Snowflake and others to accelerate adoption and governance. Champion best practices in architecture, risk management, and program oversight, while mentoring team members and aligning technical strategy with organizational goals. Ensure all implementations are secure, reliable, ethically responsible, and compliant with healthcare regulations (HIPAA). Partner with data, engineering, security, and clinical teams to move from use-case discovery to production deployment and scale, delivering measurable value in improved care quality, operational efficiency, and patient experience.
KEY RESPONSIBILITIES:<ul><li>
Architecture &amp; design: Define target architectures for data, model, and application layers; select tooling (MLOps, vector stores, model management, observability) and integration patterns with EHR/enterprise systems.</li><li>
Use‑case delivery: Lead end‑to‑end solutioning for priority use‑cases (e.g., IT support, clinical documentation assistance, patient safety and quality); author reference implementations and reusable components.</li><li>
Security, privacy &amp; compliance: Implement PHI safeguards, role‑based access, model governance, prompt/content filtering, audit trails; align with HIPAA and internal policies.</li><li>
Reliability &amp; monitoring: Establish model risk controls (drift, bias, hallucination mitigation), human‑in‑the‑loop checkpoints, and performance SLAs.</li><li>
Standards &amp; enablement: Publish architecture standards and patterns; mentor engineers and analysts; contribute to AI intake, feasibility, and TCO assessments.</li><li>
Vendor/platform evaluation: Assess AI platforms and partners; drive technical due diligence and integration plans; optimize cost/performance.</li><li>
Stakeholder engagement: Translate clinical/operational needs into technical solutions; communicate tradeoffs, roadmaps, and outcome metrics.</li></ul>
PREFERRED QUALIFICATIONS:<ul><li>
Graduate degree in CS/AI/ML</li><li>
Certifications (e.g., Azure/AWS Architect, Snowflake, Kubernetes).</li><li>
Experience with LLM ecosystems (prompt engineering, retrieval‑augmented generation, guardrails), AI agents, agentic platforms, and/or NLP in healthcare.</li><li>
Familiarity with EHR platforms and standards (FHIR, HL7), and clinical safety review processes.</li><li>
Familiarity with or contributions to open‑source AI tooling or internal reusable frameworks.</li><li>
Proven ability to implement solutions in regulated environments; strong grasp of governance, security controls, and healthcare interoperability.</li><li>
Excellent systems thinking, documentation, and stakeholder communication skills.</li><li>
Hands‑on experience with cloud (Azure/AWS/GCP), data platforms (SQL/NoSQL, lakehouse), MLOps (CI/CD for models, feature stores), and secure API integration.</li></ul>
REQUIRED QUALIFICATIONS:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or related field.</li><li>
5+ years in Solutions Architecture/Engineering with enterprise production deployments.</li></ul><div>
LICENSURE/CERTIFICATIONS: 
<ul><li>None required.</li></ul></div> 
EDUCATION:
LICENSES / CERTIFICATIONS:
PHYSICAL REQUIREMENTS:
L - Light Work - Exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly; requires occasional walking, standing or squatting.
For disease specific care programs refer to the program specific requirements of the department for further specifications on experience and educational expectations, including continuing education requirements.
Any physical requirements reported by a prospective employee and/or employee&rsquo;s physician or delegate will be considered for accommodations.
PAY RANGE:
$120,000.00 - $145,000.00<div><div><div><div><div><div><div>
CITY:</div></div></div></div></div></div></div>
Rochester<div><div><div><div><div><div><div>
POSTAL CODE:</div></div></div></div></div></div></div>
14617
The listed base pay range is a good faith representation of current potential base pay for a successful full time applicant. It may be modified in the future and eligible for additional pay components. Pay is determined by factors including experience, relevant qualifications, specialty, internal equity, location, and contracts.
Rochester Regional Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, predisposing genetic characteristics, marital or familial status, military or veteran status, citizenship or immigration status, or any other characteristic protected by federal, state, or local law.</div>

AI Solutions Architect

CoinFantasy

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

Generative AI Architect

Honeywell

<div>As an Advanced AI Engineer , you will design, develop, and deploy cutting-edge AI solutions with a strong focus on Generative AI (GenAI) and Agentic AI systems . You will build intelligent, autonomous AI agents using modern orchestration frameworks such as LangChain, LangGraph, and Databricks Mosaic AI Agent Framework , delivering scalable, secure, and production-ready AI systems tightly integrated with enterprise workflows.
You will collaborate closely with cross-functional teams to identify high-impact AI use cases, architect end-to-end solutions, and operationalize AI at scale using cloud platforms and MLOps best practices.</div>
 <div><h2 class="jobSectionHeader">Key Responsibilities
</h2><ul><li>Design, develop, and optimize Generative AI and Agentic AI solutions for real-world, enterprise-grade applications.
</li><li>Build and orchestrate AI-powered agents and multi-agent systems using frameworks such as LangChain, LangGraph, and Databricks Mosaic AI Agent Framework .
</li><li>Architect and implement end-to-end AI pipelines , including data ingestion, feature engineering, model training, evaluation, and inference.
</li><li>Collaborate with product, data, platform, and business stakeholders to identify AI use cases and translate requirements into scalable AI solutions.
</li><li>Deploy and manage AI models and agents on cloud platforms (Azure, AWS, or GCP) using containerization (Docker/Kubernetes) and modern MLOps practices.
</li><li>Implement model monitoring, observability, and performance tracking to ensure accuracy, reliability, and responsible AI usage in production.
</li><li>Leverage MLflow for experiment tracking, model versioning, and lifecycle management.
</li><li>Utilize Databricks AI/ML Platform , including Unity Catalog , for governed data access, feature management, and secure AI deployments.
</li><li>Ensure AI systems meet enterprise standards for scalability, security, compliance, and maintainability.
</li><li>Stay current with emerging AI technologies, frameworks, and research, driving innovation and continuous improvement across AI solutions.</li></ul></div>
 <div>YOU MUST HAVE
<h2 class="jobSectionHeader">Required Qualifications
</h2><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field .
</li><li>6+ years of hands-on experience in AI/ML development, deployment, and productionization.
</li><li>Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn .
</li><li>Proven hands-on experience building LLM-based applications and AI agents using LangChain, LangGraph , or similar frameworks.
</li><li>Experience deploying AI solutions on Azure, AWS, or GCP , with a solid understanding of cloud-native architectures.
</li><li>Strong foundation in data structures, algorithms, and software engineering best practices .
</li><li>Experience implementing MLOps pipelines , including CI/CD, model versioning, and monitoring. 
</li></ul><h2 class="jobSectionHeader">Preferred Skills &amp; Experience
</h2><ul><li>Strong knowledge of Generative AI models , including Large Language Models (LLMs) and diffusion-based models.
</li><li>Expertise in prompt engineering , retrieval-augmented generation (RAG), and tool-augmented LLM workflows.
</li><li>Experience designing Agentic AI architectures , autonomous workflows, and multi-agent systems .
</li><li>Hands-on experience with Databricks Mosaic AI , MLflow , and Unity Catalog for governed AI development.
</li><li>Familiarity with CI/CD pipelines for AI/ML solutions and infrastructure-as-code practices.
</li><li>Strong problem-solving skills with the ability to design scalable and maintainable AI systems.
</li><li>Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.</li></ul></div>
 <div>Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.</div>

Advanced AI Engr

Oracle

<div>Qualifications &amp; Experience
<ul><li>8+ years of total experience, with 4+ years in AI/ML Engineering roles.
</li><li>Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
</li><li>Proven track record in Generative AI, LLMs, NLP, and AI agent development.
</li><li>Expert in Python and familiar with modern ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow, etc.
</li><li>Experience fine-tuning LLMs for domain-specific applications (e.g., Q&amp;A systems, auto-documentation, predictive insights).
</li><li>Hands-on experience building, scaling, and optimizing AI systems on OCI, with knowledge of hybrid/multi-cloud architectures.
</li><li>Strong knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines.
</li><li>Familiar with MLOps, model governance, and CI/CD for ML workflows.</li></ul></div>
 <div>Key Responsibilities
<ul><li>Architect, build, and deploy production-grade AI/ML models with a strong focus on GenAI, LLMs, and intelligent agents.
</li><li>Serve as a lead architect across multiple cross-functional teams delivering AI-enabled applications.
</li><li>Design scalable, cloud-native AI solutions using Oracle Cloud Infrastructure (OCI) and other multi-cloud platforms.
</li><li>Mentor teams on solution design, best practices, and delivery excellence for AI projects.
</li><li>Guide enterprise-wide AI architecture strategy, ensuring alignment with data strategy, DevOps, and security best practices.
</li><li>Engage with C-suite stakeholders to define AI priorities, value propositions, and roadmaps.
</li><li>Lead solution estimation, technical governance, and program oversight.
</li><li>Contribute to GTM initiatives, including customer-facing demos and proposal development.
</li><li>Stay current with the latest advancements in GenAI, LLM optimization, AI agent architectures, and model integration strategies.
</li>Publish internal whitepapers, present at leadership forums, and help grow the AI practice through coaching and community engagement. 
<li>
</li></ul><div></div>Core Competencies &amp; Technical Expertise
<ul><li>Enterprise Architecture &amp; AI Strategy
</li><li>Application Development (with focus on integrating AI into existing stacks)
</li><li>Multi-cloud &amp; Distributed Architecture (OCI expertise is a must; experience with AWS, Azure, or GCP also valuable)
</li><li>AI/ML Security &amp; Compliance
</li><li>DevOps &amp; Agile AI Delivery
</li><li>Integration &amp; Data Engineering Strategy
</li><li>Stakeholder Engagement &ndash; including Executive Leadership
</li><li>Program Oversight &amp; Governance
</li><li>Solution Design, Proposals, and Estimates
</li><li>Industry Vertical: Proficiency in at least one Industry vertical will be an added advantage.</li></ul></div>

Principal AI Architect – GenAI, LLMs & AI Agents

Senior AI Architect - GenAI, LLMs & AI Agents

AI Architect

Quantiphi

<div>
 
 
 Role:
 
 Client Solutions Partner
 
 
 
 Experience:
 
 8+ years
 
 
 
 Work location:
 
 Doha, Qatar
 
 
 
 
 
 We're looking for a brilliant technologist, an excellent communicator, and a strategic partner&mdash;to be the technical heart of our AI Go-To-Market team. You will be the spark that ignites our customers' imagination, bridging the gap between the art of the possible and transformative, real-world solutions.
 
 
 
 
 
 
 What You'll Achieve:
 
 
 <ul>
 <li>
 Architect the Future State: Act as the trusted technical advisor to our most strategic clients, architecting end-to-end AI solutions and shaping their long-term technology roadmap.
 </li>
 <li>
 Inspire Action: Translate deep technical concepts into compelling business value, delivering jaw-dropping presentations and demos to audiences ranging from engineers to CXOs.
 </li>
 <li>
 Build and Unblock: Lead and build rapid, hands-on Proofs-of-Concept (especially on Google Cloud) that solve critical problems and dismantle technical blockers, paving the way for large-scale adoption.
 </li>
 <li>
 Drive the Win: Own the entire technical sales cycle&mdash;from discovery and qualification to overcoming objections and securing the "technical win" for high-value enterprise deals.
 </li>
 <li>
 Shape Our Strategy: Act as the voice of the customer and the market, channelling your insights to directly influence the evolution of our products, services, and company strategy. Build team strategy with including sales planning
 </li>
 </ul>
 
 
 
 
 
 What You'll Bring:
 
 
 <ul>
 <li>
 
 Applied AI Mastery:
 
 Deep, demonstrable, hands-on expertise in building and deploying modern AI solutions, with a strong focus on Generative AI (RAG, Agents, LLMs) and Computer Vision.
 </li>
 <li>
 
 Data Strategy &amp; Enablement
 
 Expertise in defining data strategies that align with business goals&mdash;spanning data ingestion, modelling, governance, and consumption&mdash;enabling organizations to scale analytics and AI with confidence.
 </li>
 <li>
 
 Cloud &amp; Systems Fluency:
 
 Expertise of cloud architecture, with a proven track record of designing scalable, production-grade systems (strong Google Cloud experience is a significant advantage).
 </li>
 <li>
 
 Consultative Mindset:
 
 A natural ability to listen, challenge, and guide customers towards solutions they didn't know were possible.
 </li>
 <li>
 
 Effortless Communication:
 
 You are a storyteller who can command a room, build instant credibility, and articulate complex ideas with powerful simplicity.
 </li>
 <li>
 
 Proven GTM Experience:
 
 A significant track record of success in a senior, customer-facing technical role such as a Solutions Architect, Principal Sales Engineer, or Technical Evangelist.
 </li>
 <li>
 
 Be a Force Multiplier:
 
 Mentor and elevate our exceptional team of young AI talent, fostering a culture of curiosity and collaboration by being a leader who actively listens, learns, and guides.
 </li>
 </ul>
 
 
 
 
 
 Additional Skills required:
 
 
 
 You would be involved in the development of new business opportunities and value-added services which requires a high level of creativity, learning potential and deep quantitative subject matter expertise and therefore self-driven individuals willing to learn on the go would be preferred.
 
 <ul>
 <li>
 Knowledge and willingness to learn and apply emerging trends in business research, data science, Machine learning Artificial Intelligence, Cloud
 </li>
 <li>
 Strong exposure of cloud technologies like GCP, AWS, Azure etc
 </li>
 <li>
 Excellent communication, articulation, abstraction, analytical and presentation skills
 </li>
 <li>
 Executive demeanor and experience working with senior client executives
 </li>
 <li>
 Ability to work with minimal supervision in a dynamic and time sensitive work environment
 </li>
 <li>
 Excellent aptitude in business analysis and awareness of quantitative analysis techniques
 </li>
 <li>
 Self-driven and strong aptitude to work in an entrepreneurial , fast-paced environment with minimal supervision and a passion for developing new value-added AI based solutions for clients across a variety of industries
 </li>
 </ul>
 
 
</div>

Client Solutions Partner

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