ai solutions architect

Openkyber

<div>Hi, This is OpenKyber from OpenKyber. We have an opportunity with one of our direct clients, and I'd like to share the details with you. Please review the information below and let me know if you're interested. Kindly share your updated resume if you'd like to be considered.
Job Title: Generative AI Architect Location: Montvale, NJ (Hybrid onsite)
Job Overview: We are seeking an AI Architect specializing in Generative AI and Large Language Models (LLMs) to help design, deploy, and scale AI solutions for enterprise clients. This role requires deep expertise in machine learning and data science , particularly in the design, evaluation, and operationalization of modern language models and generative AI systems . The AI Architect will work closely with engineering teams and client stakeholders to translate cutting-edge AI capabilities into reliable production systems , while ensuring governance, transparency, and responsible AI practices . The ideal candidate combines technical depth, research awareness, and strong communication skills , enabling them to represent our company confidently in front of senior client stakeholders. This is a full-time, in-office role , with some days at client and direct engagement with enterprise teams.
Required Qualifications Master's degree in Data Science, Machine Learning, Computer Science, or related field . Strong expertise in machine learning fundamentals and modern generative AI technologies . Proven experience designing and deploying AI/ML systems in production environments . Deep knowledge of: Large Language Models Generative AI architectures ML pipelines and model lifecycle management Experience working with AI frameworks and ecosystems used for building GenAI applications . Experience implementing AI governance, explainability, and responsible AI practices . Strong understanding of enterprise software architecture and distributed systems .
Preferred Qualifications Experience with agentic AI systems and orchestration frameworks . Experience building RAG-based AI systems . Familiarity with AI platform engineering and scalable AI infrastructure . Contributions to AI research, open-source projects, or technical publications . Experience working with enterprise clients in regulated industries .
Key Skills Technical Skills Machine Learning &amp; Data Science Large Language Models (LLMs) Generative AI systems AI agents and agentic architectures MLOps and model lifecycle management AI governance and explainability Professional Skills Strong analytical and problem-solving capabilities Excellent communication and presentation skills Ability to simplify complex AI concepts for diverse audiences Collaborative mindset and ability to work effectively within teams Client-facing professionalism and credibility Work Environment Full-time in-office role with collaboration across engineering and client teams. Weekly client visits for workshops, architecture discussions, and solution design sessions . High collaboration with data scientists, engineers, architects, and business stakeholders .
What Success Looks Like in This Role Successfully architect and deliver production-grade AI systems . Become a trusted AI advisor to both internal teams and client stakeholders. Ensure responsible and governed adoption of AI technologies . Help organizations translate GenAI innovation into real operational value .
Educational Qualifications: Required - Bachelor's degree in Computer Science, Information Technology, Computer Engineering or closely related or equivalent. Preferred - Master's degree in Management Information Systems (MIS), Computer Science, Big Data or Analytics or equivalent.
Travel: Open to travel based-up on the nature of the engagement.
Thanks &amp; Regards OpenKyber Resource Manager (w): (E): 2260 Haggerty Road, Suite 285 Northville, MI 48167
Equal Employment Opportunity OpenKyber employment does not discriminate on the basis of race, religion, gender, sexual orientation, age or any other basis as covered by federal, state, or local law. Employment decisions are based solely on qualifications, merit and business needs.
For applications and inquiries, contact: hirings@openkyber.com</div>

Generative AI Intern

Turbo Consultin

Role purpose: Designs and implements AI-enabled services, enterprise automations, and analytics solutions that improve service operations, knowledge management, workflow throughput, and decision support across the CIO/CDO portfolio.Core responsibilitiesArchitect AI-first solutions for Tier Zero and Tier One service delivery, including virtual agents, knowledge retrieval, intelligent routing, predictive issue detection, and automated troubleshooting.Lead design and deployment of secure LLM, retrieval-augmented generation (RAG), and agentic automation capabilities aligned to client's governance, privacy, and security controls.Develop reusable automation pipelines, scripts, and integrations using APIs, workflows, CI/CD, and infrastructure-as-code patterns.Translate operational data from ticketing, CMDB, monitoring, cloud, and collaboration systems into predictive dashboards, anomaly detection, and root-cause analytics.Partner with enterprise architecture, data, cyber, and product teams to govern AI use, model lifecycle management, and integration patterns across SaaS and cloud platforms.Evaluate COTS, low-code, and custom automation options using a buy-versus-build lens and recommend the best-fit implementation path for speed, cost, and maintainability.Drive responsible AI adoption by documenting model behavior, data lineage, risk controls, prompt/response guardrails, and performance metrics.Minimum qualificationsBachelor&rsquo;s degree in computer science, software engineering, data science, information systems, or related field; master&rsquo;s degree preferred.10+ years of experience in AI, analytics, or intelligent automation, including 5+ years designing enterprise automation platforms or AI-enabled products.Strong hands-on experience with Python, JavaScript, APIs, cloud architecture, data pipelines, and workflow orchestration.Demonstrated experience with LLMs, RAG architecture, predictive analytics, and secure integration of AI into business workflows.Microsoft AI Engineer Associate, AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, or Certified Artificial Intelligence Practitioner.Power Platform Solution Architect, Azure/OpenAI integration, or equivalent automation platform certification.Direct experience with chatbot, document summarization, and research-assistant use cases.Preferred qualifications / certificationsExperience supporting federal or regulated environments with model governance, privacy, and security controls.Pay: $175,000.00 - $250,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Retirement plan</li><li>Vision insurance</li></ul>Work Location: Remote

AI / Intelligent Automation Lead

Hazen Technologies Inc.

<div>Company Overview:
Hazen Technologies is a leading technology and BPO company having offices in USA and Pakistan. Today we stand as a premier driver of innovation, offering transformative IT solutions, managed services (back-office support), and creative &amp; digital marketing services tailored for a range of industries. Our core focus is on providing seamless solutions that add real value for our customers.
Job Location: Gulberg Lahore Pakistan.
Job Conditions: Onsite, full time, 02:00 pm to 11:00 pm PKT
Report to: Chief Software Architect
Responsible for designing, developing, and implementing cutting-edge AI and machine learning solutions. Passionate and skilled to join our growing technology team. The ideal candidate will have hands-on experience building AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and modern machine learning techniques.
Key Responsibilities: 
<ul><li>
Design and implement AI-powered applications using Large Language Models (LLMs).</li>
<li>Develop and maintain Retrieval-Augmented Generation (RAG) pipelines for document search, knowledge retrieval, and conversational AI.</li>
<li>Work with LLM APIs and integrate them into production-grade applications.</li>
<li>Build and manage embedding pipelines and vector search solutions.</li>
<li>Apply machine learning principles for model evaluation, optimization, and performance improvement.</li>
<li>Collaborate with backend and frontend teams to integrate AI features into products.</li>
<li>Monitor and improve AI system performance, scalability, and reliability.</li>
<li>Stay updated with the latest advancements in Generative AI, LLM frameworks, and machine learning technologies.</li></ul>
Key Requirements:<ul>
<li>BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</li>
<li>Strong programming skills in Python.</li>
<li>Hands-on experience working with LLMs and their APIs.</li>
<li>Experience building or working with RAG-based architectures.</li>
<li>Understanding of machine learning fundamentals and model evaluation techniques.</li>
<li>Experience with embeddings, vector databases, and semantic search.</li>
<li>Familiarity with frameworks such as LangChain, LlamaIndex, or similar LLM orchestration tools.</li></ul>
Preferred / Nice to Have<ul>
<li>Experience with Azure AI services and Azure OpenAI.</li>
<li>Familiarity with vector databases such as Qdrant, Pinecone, or Weaviate.</li>
<li>Experience deploying ML/AI solutions in cloud environments (Azure preferred).</li>
<li>Knowledge of MLOps, model monitoring, and scalable AI system design.</li>
<li>Experience working with REST APIs and backend integration.</li></ul>
At Hazen Technologies, we value diversity and inclusivity in the workplace. We are committed to providing equal employment opportunities to all individuals, regardless of race, gender, age, sexual orientation, religion, or disability.
Join our team and be a part of shaping the future of AI and machine learning at Hazen Technologies. Apply now! and make sure to fill out the form.</div>

AI/ML Engineer

McFarland Johnson

<div>
 At
 
 McFarland Johnson (MJ)
 
 , you'll own your future. We're a
 
 100% employee-owned
 
 firm with over 80 years of experience delivering innovative engineering, planning, environmental, technology, and construction solutions that make a lasting impact on the clients and communities we serve.
 
 
 Certified as a
 
 Great Place to Work
 
 , our employee-owners describe MJ's culture as
 
 collaborative, people-focused, and supportive
 
 . Join us, and help shape the future of infrastructure, together.
 
 
 The
 
 AI Innovation Architect
 
 is responsible for identifying bold opportunities where artificial intelligence can fundamentally change how MJ operates and delivers services. This role explores emerging technologies, challenges traditional assumptions, and brings forward big ideas that could transform business systems, workflows, and tools. Unlike roles focused on day-to-day technology support or training, this position operates as an internal
 
 AI exploration and innovation function
 
 , identifying possibilities that may dramatically improve efficiency, unlock new capabilities, or reinvent how the firm works.
 
 
 The AI Innovation Architect works directly with the
 
 President and executive leadership
 
 to present ideas, prototype solutions, and evaluate how emerging AI technologies could reshape MJ's future. This role rewards curiosity, experimentation, and the ability to think differently.
 
 
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Career Growth: Accelerate your professional career while working directly with executive leadership on emerging technologies that will shape the future of the firm.
 </li>
 <li>
 Collaborative Culture: Work alongside multidisciplinary teams that thrive on creativity, support, and teamwork. Collaborative is the most frequent word used to describe MJ's culture in our annual employee survey.
 </li>
 <li>
 Employee Ownership: As a 100% ESOP, your contributions directly shape our shared success ' you truly own your future.
 </li>
 <li>
 Innovation &amp; Impact: Explore emerging technologies and help MJ discover new ways to operate, compete, and deliver value.
 </li>
 <li>
 Professional Development: MJ encourages curiosity and experimentation. You'll have the opportunity to explore new technologies and develop ideas that can shape the future of the company.
 </li>
 <li>
 Work-Life Balance: Enjoy flexible schedules, generous PTO, and a culture that values balance so you can thrive both professionally and personally.
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Identify bold, even disruptive opportunities for AI within MJ.
 </li>
 <li>
 Continuously evaluate MJ's business systems, workflows, and tools to identify opportunities where AI could dramatically improve efficiency, reduce complexity, or enable entirely new ways of working.
 </li>
 <li>
 Develop and present big ideas.
 </li>
 <li>
 Explore and propose ambitious AI-driven initiatives that could transform how MJ manages data, systems, internal processes, or project delivery.
 </li>
 <li>
 Prototype and experiment.
 </li>
 <li>
 Rapidly test ideas using modern AI tools, automation platforms, APIs, and low-code development environments to demonstrate what is possible.
 </li>
 <li>
 Monitor emerging AI technologies.
 </li>
 <li>
 Translate new technology into business opportunities.
 </li>
 <li>
 Collaborate with leadership and technology teams.
 </li>
 <li>
 Work closely with the President, Director of Technology, AI Implementation Lead and Executive AI Council to evaluate promising ideas and determine which concepts should move forward.
 </li>
 <li>
 Share discoveries, demonstrations, and experimental tools that inspire MJ staff to think differently about how technology can support their work.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 We intentionally welcome applicants who are early in their careers, self-taught, or passionate about exploring emerging technologies specifically AI.
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or a related field preferred.
 </li>
 <li>
 Equivalent experience, independent learning, certifications, or demonstrated projects involving AI or automation may substitute for formal education.
 </li>
 <li>
 Recent graduates and early-career professionals are strongly encouraged to apply.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 0'3 years of experience working with technology, AI tools, automation, or software experimentation.
 </li>
 <li>
 Hands-on familiarity with generative AI platforms such as ChatGPT, Copilot, Claude, Gemini, or similar tools.
 </li>
 <li>
 Experience experimenting with APIs, automation platforms, low-code tools, or lightweight software development is a plus but not required.
 </li>
 <li>
 Curiosity about how AI can boldly change business systems and workflows.
 </li>
 <li>
 Comfort exploring new tools and learning quickly as technology evolves.
 </li>
 <li>
 Strong ability to communicate ideas and present concepts to both technical and non-technical audiences.
 </li>
 <li>
 A mindset that enjoys testing ideas, building prototypes, and exploring possibilities.
 
 
 </li>
 </ul>
 
 Bonus Qualities
 
 
 
 <ul>
 <li>
 Experience building personal projects, automation scripts, or AI experiments or complete software.
 </li>
 <li>
 Entrepreneurial mindset or interest in emerging technologies.
 </li>
 <li>
 Natural curiosity about how systems work and how they could work differently.
 
 
 </li>
 </ul>
 
 Benefits &amp; Perks
 
 
 
 <ul>
 <li>
 Competitive base salary with performance-based incentive payment plan/bonus structure.
 </li>
 <li>
 Comprehensive benefits package, including medical, dental, vision coverage.
 </li>
 <li>
 Generous Paid Time Off, including Parental Leave.
 </li>
 <li>
 Company funded ESOP + 401(k) employer match.
 </li>
 <li>
 Ongoing technical training and professional development opportunities.
 
 
 </li>
 </ul>
 
 Join Us and Make a Difference
 
 
 
 Join a team where
 
 your work has purpose, your ideas are valued, and your growth is personal
 
 . Apply today and become a part of a company where you can
 
 #ownyourfuture
 
 .
</div>

AI Innovation Architect

Inception

<div>
 
 Overview
 
 
 
 As a Principal Technical Architect at Inception, you will play a pivotal role in shaping the overarching architecture strategy for our AI-driven initiatives. You will work across teams to align business objectives with technology strategies, drive technical-wide architectural decisions, and ensure our systems are scalable, secure, and aligned with best practices. Your expertise will be instrumental in driving innovation and ensuring the successful delivery of transformative AI solutions.
 
 
 
 The opportunity
 
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platform utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop and maintain the technical architecture framework to support business objectives and technology strategies.
 </li>
 <li>
 Lead the evaluation, selection, and integration of new technologies and frameworks across the organization.
 </li>
 <li>
 Provide strategic guidance and oversight for large-scale AI and technology initiatives.
 </li>
 <li>
 Partner with stakeholders to define and align architectural standards, principles, and practices.
 </li>
 <li>
 Ensure compliance with security, regulatory, and performance requirements across technical systems.
 </li>
 <li>
 Design and oversee the implementation of scalable, secure, and high-performance AI solutions.
 </li>
 <li>
 Mentor and guide architects and technical teams in best practices and innovative solutions.
 </li>
 <li>
 Monitor technology trends and advocate for the adoption of emerging technologies where applicable.
 
 
 </li>
 </ul>
 Required Tech Stack
 
 
 <ul>
 <li>
 Technical Architecture: Deep experience with frameworks such as TOGAF, Zachman, or similar.
 </li>
 <li>
 Programming and Development: Proficiency in languages like Python, Java, and JavaScript, with a focus on technical-level solutions.
 </li>
 <li>
 AI and Machine Learning: Familiarity with frameworks like TensorFlow, PyTorch, and technical AI platforms.
 </li>
 <li>
 Cloud Platforms: Expertise in AWS, Microsoft Azure, and Google Cloud Platform (GCP).
 </li>
 <li>
 Data Management: Advanced knowledge of SQL, NoSQL databases, and big data solutions (e.g., Hadoop, Spark).
 </li>
 <li>
 Microservices and Integration: Expertise in microservices architecture, RESTful APIs, GraphQL, and service mesh technologies.
 </li>
 <li>
 Security and Compliance: In-depth understanding of technical security standards and compliance requirements.
 </li>
 <li>
 DevOps and Automation: Experience with CI/CD pipelines, containerization tools like Docker and Kubernetes, and Infrastructure as Code (IaC) tools like Terraform.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven ability to lead technical-scale architectural transformations.
 </li>
 <li>
 Strong analytical skills and the ability to translate complex business requirements into scalable and efficient architectures.
 </li>
 <li>
 Exceptional leadership and communication skills, with the ability to influence stakeholders at all levels.
 </li>
 <li>
 A proactive, innovative mindset with a bias for action and continuous learning.
 
 
 </li>
 </ul>
 
 To qualify for the role you must have
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 Extensive experience in technical architecture and technology leadership.
 </li>
 <li>
 Demonstrated success in delivering large-scale, AI-driven solutions.
 </li>
 <li>
 Deep understanding of architectural principles, system design, and technology strategy.
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 
 What Working At Inception Offers
 
 
 
 
 
 Culture
 
 
 : An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 
 
 Career
 
 
 : Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 
 
 Work-Life
 
 
 : A hybrid work policy to strike the perfect balance between office and home.
 
 
 
 
 Rewards
 
 
 : A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
</div>

Principal Technical Architect

Streamline Healthcare Solutions

<div>Job Description:
About Streamline Healthcare Solutions
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 Lead AI Software Engineer
This senior-level role focuses on designing and delivering AI/ML solutions for the healthcare industry&mdash;spanning LLM-powered applications, retrieval-augmented generation (RAG), and predictive models. You will co-design AI solutions with the AI Architect and own product-level design and end-to-end implementation (data pipelines, training/fine-tuning, evaluation &amp; guardrails, deployment, and monitoring) within enterprise standards. The role is Azure-first and requires hands-on experience with OpenAI or Anthropic models, Microsoft Copilot, GitHub Copilot, and strong competence with SQL Server (SSMS) and Visual Studio. A commitment to HIPAA-compliant handling of PHI, Responsible AI, and measurable clinical and business outcomes is essential. Healthcare domain experience&mdash;either clinical or revenue cycle management&mdash;is required.
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 Lead AI Software Engineer
<ul><li>Co-design AI solutions with the AI Architect and own product-level solutioning and delivery within enterprise AI architecture, standards, and governance.
</li><li>Lead end-to-end implementation for your product/squad:
<ul><li>RAG over EHR/claims/clinical text using embeddings and vector search.
</li><li>Model development and training/fine-tuning (LLMs and classical ML), evaluation frameworks, and guardrails (hallucination reduction, safety, PII/PHI handling).
</li><li>Production deployment with containerization/orchestration, and GPU-aware inference where applicable.
</li></ul></li><li>Establish and operate MLOps: experiment tracking and model registry, CI/CD for ML, canary/A/B testing, and monitoring for latency, accuracy, drift, bias, and cost.
</li><li>Own reliability, security, and cost for your product&rsquo;s AI services: define SLOs, participate in on-call/incident response, manage token/GPU budgets, and optimize prompts, embeddings, caching, and indexing.
</li><li>Build and maintain data pipelines (e.g., Spark/Databricks or equivalent) and ensure robust SQL Server performance and data quality; collaborate with DBAs and data engineers using SSMS.
</li><li>Ensure HIPAA compliance and Responsible AI practices across development and operations; partner with security and compliance to meet policy requirements.
</li><li>Collaborate with product management, domain experts, and compliance to translate requirements into safe, reliable, high-impact AI services.
</li><li>Conduct reviews emphasizing code quality, experiment rigor, reproducibility, and evaluation discipline; mentor engineers and data scientists.
</li><li>Participate in architecture reviews; propose improvements and contribute reusable components (RAG templates, evaluation harnesses) back to the shared AI platform.
</li><li>Leverage Microsoft Copilot and GitHub Copilot to improve developer productivity, code quality, and documentation, aligning with organizational governance.
</li></ul>Education and Experience Requirements for the Lead AI Software Engineer
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Computer Information Systems, Health Informatics, or a related field.
</li><li>Healthcare domain experience: either clinical (e.g., care delivery, clinical documentation, quality) or revenue cycle management (e.g., coding, claims, denials, prior auth).
</li><li>10+ years in software engineering; 5+ years building and shipping ML/AI solutions; 2+ years leading AI/ML initiatives or teams.
</li><li>Azure AI Foundry (Azure AI Studio) knowledge for developing, evaluating, and operationalizing LLM solutions; familiarity with Azure AI resources and deployment patterns.
</li><li>Proficiency with SQL Server Management Studio (SSMS) for SQL development, performance tuning, and troubleshooting; strong T-SQL fundamentals.
</li><li>Proficiency with Visual Studio and experience integrating AI services into .NET/C# applications or services where needed.
</li><li>Hands-on experience using OpenAI or Anthropic models (e.g., GPT-4.x/4o, Claude 3.x), including prompt engineering, function/tool calling, and evaluation.
</li><li>Experience with Microsoft Copilot and GitHub Copilot in professional workflows (coding assistance, test generation, documentation) with awareness of usage policies and data boundaries.
</li><li>Strong Python and ML ecosystem: PyTorch/TensorFlow, transformers/Hugging Face, embeddings, LLM orchestration (e.g., LangChain or LlamaIndex), and vector databases (e.g., FAISS, Azure AI Search, Pinecone).
</li><li>MLOps: MLflow/W&amp;B (or equivalent), Docker, Kubernetes, CI/CD for ML, model registries, monitoring (drift, performance, bias), A/B testing, and rollback strategies.
</li><li>Cloud AI on Azure (preferred): Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure ML, Azure Key Vault, with solid understanding of IAM, secrets, and encryption.
</li><li>Demonstrated security, privacy, and compliance competence: HIPAA, PHI/PII handling and de-identification (e.g., Presidio), Responsible AI practices.
</li><li>Excellent communication and cross-functional collaboration, including with clinical stakeholders and compliance teams.
</li></ul>Preferred Education and Experience Requirements for the Lead AI Software Engineer
<ul><li>Experience with FHIR and HL7 data standards; clinical NLP (entity extraction, summarization, coding/RCM use cases); and/or medical imaging (DICOM).
</li><li>Databricks (Delta Lake, Spark), Airflow (or similar orchestration), and Azure-native data services (e.g., Data Factory, Synapse).
</li><li>GPU/CUDA experience; inference optimization (quantization, distillation); prompt/token budgeting and caching strategies for LLM workloads.
</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>

Lead AI Software Engineer

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div><div><div> 
About This Role
This is a high-visibility role at the forefront of one of the most dynamic and fast-moving spaces in enterprise technology. The ideal candidate thrives in ambiguity, embraces change, and brings the entrepreneurial mindset needed to build something new. If you are energized by the opportunity to shape a practice from the ground up and make your mark in the AI space, this role is for you.
Job Summary
We are seeking an experienced Principal AI Engagement Architect to join the Business AI Adoption Practice within the Customer Services and Delivery organization. As an AI Engagement Architect, you will work closely with Market Units, solution experts, enterprise architects, and delivery teams within the region and to increase AI Adoption - Joule, Embedded AI and custom AI solutions based on BTP, helping customers and internal teams accelerate their intelligent enterprise journey.
The ideal candidate combines deep technical expertise in SAP Business AI and SAP BTP with strong customer engagement skills. This role is the technical backbone of our AI adoption motion and is ideal for someone passionate about AI, automation, and innovation enablement,
Key Responsibilities
AI Architecture Leadership<ul><li>
Provide architectural leadership on embedded AI capabilities across SAP Business Suite applications</li><li>
Lead Joule architecture, enablement, and activation across Lines of Business, aligned with Unified Joule Strategy</li><li>
Design and deploy Joule Agents and Assistants, including hands-on development of custom agents using Joule Studio</li><li>
Build proof of concepts, demos, and reference architectures showcasing applied AI, intelligent automation, and agent-driven scenarios</li><li>
Evaluate and apply Generative AI and LLM-based approaches for process automation and application development</li></ul>
AI Adoption &amp; Customer Engagement<ul><li>
Engage with account teams and customers to identify, shape, and pilot high-value AI and automation use cases</li><li>
Translate complex business challenges into scalable technical architectures using SAP Business AI, SAP BTP, Python, and ABAP</li><li>
Lead architecture, governance, and security discussions with customers to remove adoption barriers and accelerate AI consumption</li><li>
Clearly articulate the value of AI and automation, accelerate adoption roadmaps, and guide customers from experimentation to scale</li><li>
Proactively identify and resolve adoption blockers</li></ul>
Internal Enablement &amp; Thought Leadership<ul><li>
Create enablement assets, technical guides, and best practice frameworks for CS&amp;D, BTP, and regional teams</li><li>
Lead or contribute to AI workshops, hackathons, and deep-dive sessions</li><li>
Capture and document patterns, lessons learned, and reusable assets to accelerate AI adoption across engagements</li><li>
Feed adoption insights, customer and field feedback back to Product Management to inform roadmap decisions</li><li>
Stay current on SAP Business AI portfolio, SAP BTP advancements, and emerging agentic AI capabilities</li></ul>
Technical Advocacy and Stakeholder Engagement<ul><li>
Act as the primary technical voice for Business AI and automation, influencing stakeholders from MU and delivery teams</li><li>
Partner with regional delivery and customer engagement teams to drive consistent, aligned engagement across AI opportunities</li><li>
Collaborate with Enterprise Architects to ensure AI technical recommendations align with broader architectural direction</li></ul>
Qualifications<ul><li>
12+ years of expertise in SAP technical or customer facing roles</li><li>
Hands-on experience with SAP AI Core, AI Launchpad, Generative AI Hub, SAP Build, and Joule Studio</li><li>
Proven experience as an SAP Architect with deep expertise in SAP Business AI, Joule and agent-based architecture, and SAP BTP</li><li>
Proficiency in SAP BTP services including SAP Generative AI Hub, SAP AI Core, SAP AI Business Services</li><li>
Familiarity with SAP HANA Cloud, SAP Data Intelligence, SAP Analytics Cloud, Vector Engines, Knowledge Graphs.</li><li>
Solid technical foundation in Python, JavaScript, CAP, and enterprise SAP landscapes</li><li>
Strong business process acumen across at least one functional domain - Finance, Supply Chain, or HR</li><li>
Ability to decouple complex business requirements into scalable, secure AI architectures</li><li>
Strong communication and stakeholder management skills - able to influence both technical and non-technical audiences</li><li>
An AI-Powered Mindset with the ability to connect technology to real business outcomes</li><li>
Bachelor's or master&rsquo;s degree in computer science, Engineering, or related field</li></ul>
Preferred Skills<ul><li>
SAP certification in SAP BTP or relevant AI modules</li><li>
Exposure to ABAP-based AI integrations and hybrid SAP landscapes</li><li>
Experience working with APIs, AI SDKs, LLM frameworks, and cloud AI services</li><li>
Prior experience in customer facing roles - consulting, pre-sales, or customer success</li><li>
Experience delivering hands-on demos and proof of concept builds to executive audiences</li></ul></div></div><div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.</div><div> 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.</div><div></div><div> 
Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP&rsquo;s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted annual combined range for this position is . The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.</div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div><div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 448741 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 60% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div></div>

Principal AI Engagement Architect - East Coast US

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