ai systems architect

FlairsTech

<div>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are hiring an elite cohort of highly hands-on AI Engineers to embed directly within Valsoft's Edelweiss Software Group portfolio of vertical market B2B SaaS companies.
 </p>
 <p>
  We are looking for builders &mdash; engineers who operate as system orchestrators rather than traditional syntax typists. You will design, implement, and deploy secure, enterprise-grade AI systems that automate workflows, eliminate manual processes, rapidly modernize massive legacy codebases, and create measurable business impact.
 </p>
 <p>
  You will work directly with operators, product teams, and leadership to turn inefficiencies into intelligent systems. Operating with a distinct startup mindset within a large-scale corporate portfolio, your primary focus is driving rapid product innovation, executing AI-driven legacy modernization via agentic swarm coding, and maximizing ROI through autonomous multi-agent workflows.
 </p>
 <p>
  If you enjoy owning problems end-to-end, possess a relentless bias toward action, and thrive on shipping real systems into production at an unprecedented velocity, this role is for you.
 </p>
 <p>
  Your mission: act as an organizational force multiplier to increase efficiency, reduce CAC payback periods, increase Net Revenue Retention (NRR), and unlock massive scalability.
 </p>
 <p>
  What You&rsquo;ll Do
 </p>
 <p>
  Build &amp; Ship AI Systems
 </p>
 <ul>
  <li>
   Design, develop, and deploy production-grade, secure AI systems utilizing scalable polyglot microservices.
  </li>
  <li>
   Integrate state-of-the-art enterprise LLMs (Anthropic Claude Opus 4.6, OpenAI GPT-5.2, Google Gemini 3) into SaaS platforms via dynamic, fault-tolerant API routing gateways.
  </li>
  <li>
   Modernize extensive codebases using agentic swarm coding, automated refactoring tools, and cross-language translation.
  </li>
  <li>
   Develop autonomous multi-agent workflows utilizing parallel orchestration tools like the OpenAI Codex and Claude Code CLI.
  </li>
  <li>
   Automate comprehensive technical documentation for legacy and newly generated codebases using AI orchestration.
  </li>
  <li>
   Rapidly prototype &rarr; validate via adversarial testing &rarr; deploy &rarr; iterate.
  </li>
 </ul>
 <p>
  Architect AI Infrastructure
 </p>
 <ul>
  <li>
   Apply good knowledge of software engineering design patterns and architecture to ensure the scalability and maintainability of AI-generated systems.
  </li>
  <li>
   Implement complex RAG systems and continually optimize trade-offs between massive-context hydration (up to 1-million tokens) and multi-stage semantic retrieval.
  </li>
  <li>
   Work extensively with vector databases (Pinecone, Weaviate, FAISS) and manage persistent document embedding queues.
  </li>
  <li>
   Build polyglot microservices specifically capable of handling massive, long-running operational tasks and streaming continuous token generation via persistent connection protocols (WebSockets and Server-Sent Events).
  </li>
  <li>
   Ensure SOC2 compliance, data residency (via inference_geo parameters), and deterministic execution through policy-as-code agentic governance.
  </li>
  <li>
   Deploy and scale models strictly within secure managed cloud boundaries (Azure AI, AWS Bedrock, GCP Vertex) leveraging Docker and Kubernetes orchestration.
  </li>
 </ul>
 <p>
  Transform the Application Lifecycle &amp; Collaborate
 </p>
 <ul>
  <li>
   Architect "zero-touch deployment" CI/CD pipelines fortified with adversarial gating.
  </li>
  <li>
   Design and implement unit test and benchmark automation workflows, utilizing AI agentic coding to rigorously validate and test produced code.
  </li>
  <li>
   Natively integrate synthetic red teaming into CI/CD to actively prevent prompt drift, reward hacking, and logic degradation.
  </li>
  <li>
   Work directly with non-technical stakeholders to translate ambiguous business problems into secure, scalable AI solutions.
  </li>
  <li>
   Optimize Atlassian workflows (Jira) to automate the translation of unstructured product requirements into structured prompt contexts for AI agents.
  </li>
 </ul>
 <p>
  Required Technical Skills
 </p>
 <p>
  Core Engineering
 </p>
 <ul>
  <li>
   5+ years of demonstrable enterprise software development experience.
  </li>
  <li>
   Good knowledge of software engineering design patterns and architecture.
  </li>
  <li>
   Flexible in most popular programming languages (Python, Javascript, Typescript, .Net, C#) and web frameworks (NextJS, etc.).
  </li>
  <li>
   Ability to switch environments and programming using agentic programming tools to validate and test your produced code.
  </li>
  <li>
   Backend development experience designing polyglot APIs, decoupled asynchronous microservices, and utilizing persistent connection protocols (WebSockets/SSE).
  </li>
  <li>
   Familiarity with containerization (Docker, Kubernetes) and architecting multi-region, fault-tolerant cloud infrastructure (AWS, Azure, or GCP).
  </li>
 </ul>
 <p>
  AI &amp; ML Systems
 </p>
 <ul>
  <li>
   Enterprise LLM integration and dynamic API routing (OpenAI, Anthropic, Gemini, DeepSeek).
  </li>
  <li>
   Multi-agent orchestration and advanced CLI tooling (Claude Code with Auto Hot-Reload and Forking Context, OpenAI Codex).
  </li>
  <li>
   Mastery of localized AI IDE layers (Cursor for repository-wide reasoning, GitHub Copilot).
  </li>
  <li>
   Massive-context RAG pipelines, dynamic chunking strategies, and vector databases (Pinecone, Weaviate, FAISS).
  </li>
  <li>
   Custom evaluations (LangSmith), structured outputs, and managed fine-tuning in secure cloud boundaries.
  </li>
 </ul>
 <p>
  MLOps &amp; Process Automation
 </p>
 <ul>
  <li>
   Zero-touch CI/CD pipelines and advanced Git workflows (including Git worktree isolation for autonomous sub-agents).
  </li>
  <li>
   Unit test and benchmark automation frameworks fully integrated with AI-driven testing.
  </li>
  <li>
   Adversarial LLM testing and automated synthetic red-teaming integration.
  </li>
  <li>
   Monitoring dynamic access limits and real-time atomic token/credit consumption tracking.
  </li>
  <li>
   Strict hallucination mitigation, enterprise guardrails, and deterministic policy-as-code execution.
  </li>
 </ul>
 <p>
  Profile We&rsquo;re Looking For
 </p>
 <ul>
  <li>
   Highly hands-on &mdash; you ship, not just design. You operate at an unprecedented velocity by orchestrating advanced autonomous tools.
  </li>
  <li>
   Entrepreneurial startup mindset &mdash; you see legacy inefficiencies and act with a relentless bias toward rapid action.
  </li>
  <li>
   Comfortable with ambiguity and translating complex business needs into precise technical execution.
  </li>
  <li>
   Business-oriented &mdash; you care deeply about ROI, operational leverage, and driving specific financial metrics (CAC, NRR).
  </li>
  <li>
   Fast learner &mdash; keeps up with real-time shifts in AI ecosystems, hardware architectures (e.g., Cerebras chips), and vital API migrations.
  </li>
  <li>
   Pragmatic &mdash; uses the right secure enterprise tool for the specific bottleneck, eschewing the fanciest public tool if it compromises stability or compliance.
  </li>
 </ul>
 <p>
 </p>
</div>


Senior AI Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
AWS Specialist Solutions Architects (SSAs) are technologists with expert level domain-specific knowledge. They can solve our customer&rsquo;s most complex problems and scale their knowledge throughout our global sales organization. Most importantly, they form the bridge between our customers and product teams, bringing first hand customer experience into our product roadmaps and feature development plans.<br>
<br>
Key job responsibilities<br>
We are looking for a strong Solutions Architect with deep expertise in agentic AI systems to enable new capabilities for our customers deploying Agentic AI workloads on AWS. This is not a traditional GenAI role&mdash;you will own the GTM strategy for the next wave of agent capabilities where AI moves from answering questions to taking action: persistent memory, dynamic user profiles and personalization, research agents, agentic AI evaluation, and responsible AI guardrails&mdash;capabilities that move agents from demos to enterprise-grade production systems. We are looking for someone who has built and shipped production-ready agentic AI systems, not just prototypes, and understands the hard architectural choices required to close the gap between demo and deployment at scale. You will interact with customers directly to understand their hardest business problems, help them architect and implement scalable agentic solutions (often via proof-of-concepts), and feed those field insights back to shape the product features that developers will build on. Working with account teams, research scientists, and product teams, you'll drive agent implementations, define new solution patterns, and create new solutions.<br>
<br>
We are part of the Worldwide Specialist Organization at AWS, a team of customer-obsessed architects and technical business leaders. We work backwards from our customer's most business-critical problems to build global go-to-market plans and scale innovations across industries and domains.<br>
<br>
About the team<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
Inclusive Team Culture<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>10+ years of IT development or implementation/consulting in the software or Internet industries experience</li><li>8+ years of specific technology domain areas (e.g. AI/ML, software development, cloud computing, data &amp; analytics, systems engineering) experience</li><li>1+ years of design, implementation, or consulting in agentic AI, multi-agent systems, or LLM-based application architectures experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience building, deploying or supporting production-ready AI systems with persistent memory, user personalization, or agent orchestration at enterprise scale</li><li>Experience with responsible AI frameworks, guardrail architectures, and safety patterns for agent systems operating in regulated industries (e.g. financial services, healthcare, energy, public sector)</li><li>Experience designing and operationalizing evaluation frameworks for AI systems&mdash;including benchmark design, human-in-the-loop assessment, and production monitoring</li><li>Experience building and deploying production-ready AI systems with persistent memory, user personalization, or agent orchestration at enterprise scale</li><li>Hands-on experience with foundation models, agent frameworks, tool-use patterns, retrieval-augmented generation, and evaluation methodologies for agentic AI systems</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually<br>
USA, CA, Sunnyvale - 176,600.00 - 239,000.00 USD annually<br>
USA, DC, Washington Dc - 153,600.00 - 207,800.00 USD annually<br>
USA, NY, New York - 169,000.00 - 228,600.00 USD annually<br>
USA, TX, Austin - 153,600.00 - 207,800.00 USD annually<br>
USA, TX, Houston - 153,600.00 - 207,800.00 USD annually<br>
USA, WA, Bellevue - 153,600.00 - 207,800.00 USD annually<br>
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually</div><p></p>

Worldwide Specialist Solutions Architect - AgenticAI, Data & AI GTM

<div>Overview:
<div><b>
WHAT YOU DO AT AMD CHANGES EVERYTHING</b></div><div>
At AMD, our mission is to build great products that accelerate next-generation computing experiences&mdash;from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you&rsquo;ll discover the real differentiator is our culture. We push the limits of innovation to solve the world&rsquo;s most important challenges&mdash;striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. <b>Together, we advance your career.</b></div>
Responsibilities:
<div>
Advanced Technologies Group (ATG) is AMD&rsquo;s innovation incubator, an internal startup that moves fast, prototypes boldly, and turns breakthrough ideas into scalable products and platforms. ATG operates with a startup culture: strong ownership, a high technical bar, a bias for action, and close collaboration with engineering, product, and ecosystem partners to advance AMD&rsquo;s next-generation solutions.</div><div></div><div><br>
We are seeking a seasoned Systems Architect to design and implement AI-driven solutions. This role focuses on architecting scalable, robust systems that leverage artificial intelligence technologies to solve complex business and technical challenges in camera imaging and adjacent domains.</div><div></div><div><b><br>
THE ROLE:</b></div><ul><li><b>
End-to-end Solution Leadership:</b> Collaborate with cross‑functional teams and industry partners to design complete camera system solutions that meet customer requirements and technical constraints.</li><li><b>
Champion AI Deployment and Process Improvement: </b>Develop deployment strategies and technical roadmaps for AI solutions in camera imaging and beyond. Define and demonstrate best practices for AI-accelerated system scalability, reliability, and maintainability.</li><li><b>
Architectural Design and Influence:</b> Design end‑to‑end camera solutions and provide strategic guidance to internal and external architecture teams. Document system architectures, tradeoffs, and key decisions throughout the development lifecycle.</li><li><b>
Cross‑Team Leverage &amp; IP Reuse:</b> Work in collaboration with component owners and adjacent platform teams to maximize reuse and leverage of ISP/imaging software assets and IP across AMD businesses and product lines.</li><li><b>
Ecosystem &amp; Standards Collaboration:</b> Collaborate with external customers, strategic partners, and standards/platform stakeholders to align a common technical vision, influence requirements, and enable interoperable solutions.</li><li><b>
Global Customer Engagement:</b> Partner with customer engineering teams to support and deliver solutions.</li></ul><div></div><div><b><br>
THE PERSON:</b></div><ul><li><b>
Software Development and Architecture: </b>Demonstrate strong technical leadership in defining, driving, and deploying multi-year solutions, industry, and customer impacts, with proven expertise in developing and deploying AI/ML solutions in production environments.</li><li><b>
Hands-on AI/ML Experience:</b> Strong understanding of AI/ML algorithms, frameworks, and deployment workflows. Experience with ONNX, ROCm, TensorFlow, and PyTorch; proficiency in Python and C/C++.</li><li><b>
Ownership &amp; Technical Leadership:</b> Demonstrated ability to drive end-to-end ownership&mdash;from problem definition and architecture through implementation tradeoffs, integration, and delivery&mdash;while setting a high technical bar and unblocking teams.</li><li><b>
Global Teamwork &amp; Communication:</b> Effective communicator and team player, experienced in working across global teams, time zones, and cultural contexts.</li></ul><div></div><div><b><br>
PREFERRED EXPERIENCE:</b></div><ul><li><b>
Camera and ISP development:</b> Experience with camera low-level drivers (Windows or Linux), knowledge of camera tuning and optimization, camera sensor drivers and imaging pipelines</li><li><b>
Computer Vision and Edge AI:</b> Background in computer vision applications, edge AI and embedded systems</li><li><b>
System-level and general software development: </b>Knowledge of real‑time processing, low‑level driver/firmware development, and system‑wide software engineering principles.</li></ul><div></div><div><b><br>
ACADEMIC CREDENTIALS:</b></div><ul><li>
BS/MS degree in Computer Science, Electrical/Computer Engineering, or Applied Math</li></ul><div></div><div><b><br>
LOCATION:</b></div><div>
Santa Clara, Austin, Markham</div><div></div><div><b><br>
This role is not eligible for visa sponsorship.</b></div><div></div><div><br>
#LI-TB1</div><div>
#LI-Hybrid</div>
Qualifications:
<div><i>
Benefits offered are described: </i>AMD benefits at a glance.</div><div></div><div><i><br>
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants&rsquo; needs under the respective laws throughout all stages of the recruitment and selection process.</i></div><div></div><div><i><br>
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD&rsquo;s &ldquo;Responsible AI Policy&rdquo; is available </i><i>here.</i></div><div></div><div><i><br>
This posting is for an existing vacancy.</i></div></div>

Imaging AI Solution Architect

Contour Software

<div><div>About Contour</div><div></div><div><div>
Contour Software</div> has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.</div><div><br>
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.</div><div><br>
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!</div><div></div><div><div><div>
Job Description: Senior AI Engineer - DIS</div></div><div><div>
The Division:<br>
Dealer Information Systems Corporation (Client) is a leading business management software provider to agricultural, construction, truck refrigeration and lift truck dealers in North America. Founded in 1980, and based in Bellingham WA (USA); we are a team of 100+ professionals who help customers with Software, Hardware and Network Management so they don't have to deal with many vendors but just one full-service company.<br>
<br>
Division Profile: https://www.discorp.com/</div></div><div><div>
The Position</div></div><div><div>
The division is seeking a Senior AI Engineer to join its team. This individual will be responsible for designing and developing the AI platform, including building GenAI systems from the ground up, creating production-ready retrieval-augmented generation (RAG) solutions, developing semantic search and embeddings pipelines, and architecting advanced LLM orchestration layers for complex workflows and agentic systems.</div></div><div></div><div><div><br>
The chosen individual will work out of the Contour Software Lahore or Islamabad resource center office as an extension of the division-based R&amp;D department.</div></div><div></div><div><div><br>
Essential Duties and Responsibilities</div></div><div><ul><li><div>
AI Platform Architecture:</div></li></ul></div><div><ul><li><div>
Design and implement the enterprise GenAI architecture from the ground up.</div></li></ul></div><div><ul><li><div>
Build production-ready RAG systems, semantic search pipelines, embeddings workflows, and vector data infrastructure.</div></li></ul></div><div><ul><li><div>
Architect LLM orchestration layers for multi-step reasoning, tool usage, and AI-driven workflows.</div></li></ul></div><div><ul><li><div>
Define scalable patterns for agentic systems and domain-aware assistants.</div></li></ul></div><div><ul><li><div>
LLM Systems in Production:</div></li></ul></div><div><ul><li><div>
Integrate LLM providers (OpenAI, Anthropic, open-weight models, or hybrid approaches) into secure, observable enterprise systems.</div></li></ul></div><div><ul><li><div>
Build AI service layers, orchestration APIs, caching, evaluation pipelines, and monitoring frameworks.</div></li></ul></div><div><ul><li><div>
Design for latency, cost optimization, safety, and reliability at scale.</div></li></ul></div><div><ul><li><div>
Establish measurable quality benchmarks and evaluation strategies for AI outputs.</div></li></ul></div><div><ul><li><div>
Responsible &amp; Enterprise-Ready AI:</div></li></ul></div><div><ul><li><div>
Implement guardrails, policy enforcement, and hallucination mitigation mechanisms.</div></li></ul></div></div><div><div><ul><li><div>
Define governance standards for data provenance, auditability, and transparency.</div></li></ul></div><div><ul><li><div>
Build AI systems that engineering and compliance teams can trust.</div></li></ul></div><div><ul><li><div>
AI Adoption &amp; Enablement:</div></li></ul></div><div><ul><li><div>
Translate high-impact business problems into AI-native architectures.</div></li></ul></div><div><ul><li><div>
Partner with product leaders to prioritize AI features that drive measurable value.</div></li></ul></div><div><ul><li><div>
Mentor engineers and raise the organization&rsquo;s AI maturity.</div></li></ul></div><div><ul><li><div>
Move teams from PoCs to scalable, production-grade AI capabilities.</div></li></ul></div><div><div>
Required Education and Experience:</div></div><div><ul><li><div>
Bachelor's Degree in Computer Science, Computer Engineering or equivalent technical Degree; or equivalent combination of education and experience.</div></li></ul></div><div><ul><li><div>
5+ years building applied AI/ML systems, with strong recent experience in Generative AI.</div></li></ul></div><div><ul><li><div>
Proven experience shipping LLM-powered applications (RAG, embeddings, prompt strategies, model adaptation).</div></li></ul></div><div><ul><li><div>
Deep understanding of vector search, semantic retrieval, and AI system evaluation.</div></li></ul></div><div><ul><li><div>
Experience building orchestration layers using frameworks such as LangChain, Semantic Kernel, LlamaIndex, or designing equivalent custom architectures.</div></li></ul></div><div><ul><li><div>
Strong cloud-native engineering experience (AWS, Azure, or GCP).</div></li></ul></div><div><ul><li><div>
Advanced Python skills and experience building scalable backend systems and APIs.</div></li></ul></div><div><ul><li><div>
Experience implementing observability, CI/CD, and monitoring for AI systems in production.</div></li></ul></div><div><ul><li><div>
Ability to balance innovation with enterprise constraints (security, compliance, reliability).</div></li></ul></div><div></div><div><div><br>
What Makes This Role Different</div></div><div><ul><li><div>
You are not inheriting a legacy AI stack; you will help define it.</div></li></ul></div></div><div><div><ul><li><div>
You will shape AI standards, architecture, and governance across the division.</div></li></ul></div><div><ul><li><div>
Your work will power real customer-facing products and operational intelligence.</div></li></ul></div><div><ul><li><div>
You will operate at the intersection of AI strategy, architecture, and hands-on engineering.</div></li></ul></div></div><div></div><div><br>
Exciting Benefits we offer:</div><ul><li><div>
Market-leading Salary</div></li><li><div>
Medical Coverage &ndash; Self &amp; Dependents</div></li><li><div>
Parents Medical Coverage</div></li><li><div>
Provident Fund</div></li><li><div>
Employee Performance-based bonuses</div></li><li><div>
Home Internet Subsidy</div></li><li><div>
Conveyance Allowance</div></li><li><div>
Profit Sharing Plan [Tenured Employees Only]</div></li><li><div>
Life Benefit</div></li><li><div>
Child Care Facility</div></li><li><div>
Company Provided Lunch/Dinner</div></li><li><div>
Professional Development Budget</div></li><li><div>
Recreational area for in-house games</div></li><li><div>
Sporadic On-shore training opportunities</div></li><li><div>
Friendly work environment</div></li><li><div>
Leave Encashment</div></li></ul><div></div><div><i>
Disclaimer:</i><i> At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.</i></div><div></div><div><i>
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</i></div></div><div></div>

Bristol Myers Squibb

<div><b>Working with Us</b><br>
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.<br>
<br>
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .<br>
<br>
<b>Description:
</b><br>
<br>
This role leads research into the principles of intelligence and architects advanced agentic AI systems grounded in rigorous evaluation science. The Associate Director is responsible for advancing the lab's understanding of reasoning, planning, memory, and generalization in AI agents, while establishing benchmarking methodologies that set the standard for agent evaluation. This position is pivotal in shaping the strategic direction of intelligence systems research and implementing advanced frameworks that accelerate insight generation across Commercial, Manufacturing, Clinical Development, and Research functions.<br>
<br>
<b>Key Responsibilities and Major Duties:</b><ul><li><b>
Research Leadership and Framework Architecture:</b><ul><li>
Lead research initiatives exploring foundational principles of intelligence, including reasoning, planning, memory, and generalization in AI systems.</li><li>
Architect frameworks for agent cognition, abstraction, goal decomposition, and adaptive planning; establish design principles for multi-agent systems.</li><li>
Define research hypotheses and experimental agendas that advance the lab's understanding of intelligent behavior in artificial systems.</li><li>
Synthesize academic literature and industry advances to shape the lab's technical roadmap for reasoning and cognitive architectures.</li><li>
Publish findings and represent the lab's research at internal forums and external conferences.</li></ul></li><li><b>
Benchmarking and Evaluation Science Leadership:</b><ul><li>
Lead the development of benchmarking and evaluation science for AI agents, establishing rigorous methodologies to assess reasoning, planning, and generalization.</li><li>
Define evaluation frameworks and success criteria for multi-agent systems across diverse enterprise use cases.</li><li>
Oversee the creation of test harnesses, evaluation datasets, and measurement standards.</li><li>
Ensure experimental rigor and reproducibility across all benchmarking activities.</li><li>
Set the strategic direction for how the organization measures and validates agent intelligence.</li></ul></li><li><b>
Agentic AI Development and Implementation:</b><ul><li>
Lead the design and development of multi-agent AI systems using frameworks such as Strands, LangGraph, DSPy, and similar agentic architectures.</li><li>
Oversee development of RAG applications, knowledge graphs, and conversational AI solutions informed by research insights.</li><li>
Drive the implementation of autonomous workflows and decision systems that demonstrate advances in agent reasoning.</li><li>
Ensure solutions reflect the latest research in planning, memory, and generalization capabilities</li></ul></li><li><b>
Rapid Prototyping and Innovation:</b><ul><li>
Translate research concepts into working prototypes and production-ready demonstrations.</li><li>
Apply ROI-first evaluation approaches to prioritize high-impact research initiatives.</li><li>
Identify opportunities to deploy next-generation reasoning and planning capabilities across the enterprise.</li><li>
Lead documentation efforts for research findings, experimental results, and technical methodologies.</li></ul></li></ul><ul><li><b>
Cross-Functional Collaboration:</b><ul><li>
Partner with analytics and business stakeholders across Commercial, GPS/Manufacturing, Clinical Development, and Research functions to translate research into business value.</li><li>
Collaborate with IT, data engineering, and platform teams to ensure research prototypes are deployable on enterprise infrastructure.</li><li>
Translate complex AI research insights into actionable recommendations for technical and non-technical stakeholders.</li><li>
Represent the Intelligence Systems Lab in enterprise-wide AI initiatives and strategic planning.</li></ul></li><li><b>
Team Development and Best Practices:</b><ul><li>
Mentor and develop data scientists and researchers within the team; build a culture of scientific rigor and intellectual curiosity.</li><li>
Establish governance frameworks and best practices for agent evaluation, benchmarking science, and research methodology.</li><li>
Lead knowledge sharing through internal presentations, publications, and collaborative research initiatives.</li><li>
Shape team capabilities and hiring strategies to advance the lab's research mission.</li></ul></li></ul><b>
Qualifications/Degree/Certification/Licensure:</b><ul><li><b>
Educational Background:</b> BA/BS required (quantitative area of study such as Computer Science, Data Science, Statistics, Mathematics, Cognitive Science, or Engineering preferred). Ph.D. or other graduate degree preferred.</li><li><b>
Technical Proficiency:</b> Proficiency in Python (R or Julia), with experience in ML frameworks (Scikit-Learn, TensorFlow, PyTorch, etc.) Experience with agentic AI frameworks (Strands, LangGraph, AutoGen, DSPy, CrewAI, or similar). Experience with LLMs, prompt engineering, and RAG architectures. Strong background in benchmarking and evaluation methodologies for AI systems. Proficiency in SQL and familiarity with cloud-based environments (AWS, Azure, GCP). Experience with Git, MLOps practices, and containerization technologies. Strong foundation in experimental design, statistical analysis, and research methodology.</li><li><b>
Communication Skills:</b> Excellent communication and presentation skills, with a proven ability to explain complex research and analyses to both technical and non-technical stakeholders. Experience presenting at conferences or publishing research preferred.</li><li><b>
Experience:</b> A minimum of 5 years of hands-on experience in data science, machine learning, AI development, or AI research. Experience leading research initiatives or technical teams preferred. Experience with pharmaceutical or life sciences industry preferred.</li><li><b>
Cross-Functional Collaboration:</b> Proven experience in leading complex research or development projects with multi-functional team members.</li></ul>
#LI-Hybrid<br>
<br>
<b>#AIEngineering</b>
<br>
<br>
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
<br>
<br>
<b>Compensation Overview:</b><br>
<br>
Bothell - WA - US: $184,290 - $223,314<br>
Princeton - NJ - US: $167,540 - $203,013
<br>
San Diego - CA - US: $184,290 - $223,314<br>
Seattle - WA: $184,290 - $223,314<br>
<br>
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
<br>
<br>
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
<br>
<br>
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
<ul><li><b>Health Coverage:</b> Medical, pharmacy, dental, and vision care.</li><li>
<b>Wellbeing Support:</b> Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
</li><li><b>Financial Well-being and Protection:</b> 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
</li></ul><b>Work-life benefits include:
</b><br>
<br>
Paid Time Off
<ul><li>US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
</li><li>Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
</li></ul>Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
<br>
<br>
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.<br>
<br>
<ul><li><b>Eligibility Disclosure: </b>T he summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
</li></ul><br>
<b>Uniquely Interesting Work, Life-changing Careers</b><br>
With a single vision as inspiring as Transforming patients' lives through science&trade; , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.<br>
<br>
<b>On-site Protocol</b><br>
<br>
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
<br>
<br>
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
<br>
<br>
<b>Supporting People with Disabilities</b><br>
<br>
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.
<br>
<br>
<b>Candidate Rights</b><br>
<br>
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
<br>
<br>
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
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<br>
<b>Data Protection</b><br>
<br>
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection .<br>
<br>
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.<br>
<br>
If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.
<br>
<br>
R1599048 : Associate Director, Intelligence Systems Lab</div>

Associate Director, Intelligence Systems Lab

CLEAR

<div>
 <p>
  Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 30+ million passionate members and hundreds of partners around the world, CLEAR&rsquo;s identity platform is transforming the way people live, work, and travel. Whether it&rsquo;s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic.
 </p>
 <p>
  You will shape the architecture and execution of CLEAR&rsquo;s AI platform strategy, from infrastructure to applied intelligence. You&rsquo;ll partner with Engineering, Product, Analytics, and Security to design and scale systems that embed AI into every member and partner interaction. We&rsquo;re looking for a technical leader who can set the direction for AI adoption, drive platform scalability, and ensure responsible, trusted deployment of AI applications across CLEAR&rsquo;s ecosystem.
 </p>
 <p>
  <em>
   <strong>
    What You Will Do:
   </strong>
  </em>
 </p>
 <ul>
  <li>
   Define and scale CLEAR&rsquo;s AI strategy: spanning data pipelines, ML lifecycle management, and intelligent applications.
  </li>
  <li>
   Lead engineering execution for AI models (development, deployment, monitoring, retraining) with a focus on reliability, observability, and ethical AI practices.
  </li>
  <li>
   Modernize analytics and intelligence systems to deliver predictive insights and partner-facing transparency in real time.
  </li>
  <li>
   Operationalize trust in AI by embedding privacy, compliance, and security into all platforms and workflows.
  </li>
  <li>
   Influence cross-functional stakeholders across the business
   <strong>
    ,
   </strong>
   fostering a culture of technical rigor, collaboration, and innovation, advising C Suite executives, leaders, and individual contributors.&nbsp;
  </li>
  <li>
   Lead the AI Governance group and drive best practices across business functions
  </li>
  <li>
   Track and optimize KPIs on AI adoption, model performance, scalability, and business impact.
  </li>
 </ul>
 <p>
  <em>
   <strong>
    What You&rsquo;re Great At:
   </strong>
  </em>
 </p>
 <ul>
  <li>
   12+ years in software engineering and/or technical experience with deep expertise in AI systems, ML platforms, and data infrastructure.
  </li>
  <li>
   At least 5 years of experience with various (e.g.&nbsp; more than one) AI technologies; including GenAI, ML, Deep Learning, RPA or others.
  </li>
  <li>
   Proven ability to scale AI capabilities into high-throughput, low-latency environments.
  </li>
  <li>
   Strong technical background in cloud-native architectures (AWS or similar) and modern AI/ML stacks (TensorFlow/PyTorch, MLflow, RAG, MCP, etc.).
  </li>
  <li>
   Experience leading AI strategy and platform adoptio
   <strong>
    n
   </strong>
   in enterprise-scale environments.
  </li>
  <li>
   Skilled at translating regulatory and compliance requirements into responsible AI practices.
  </li>
  <li>
   Track record of partnering closely with Product, Engineering, Analytics, and Security teams as well as business executives.
  </li>
  <li>
   Excellent communicator who can set a vision for AI, explain technical trade-offs, and influence executives, peers, and partners.
  </li>
  <li>
   Passionate about embedding AI into core products to deliver measurable impact for members and enterprise partners.
  </li>
 </ul>
 <p>
  <strong>
   <em>
    How You&rsquo;ll be Rewarded:
   </em>
  </strong>
 </p>
 <p>
  At CLEAR, we help YOU move forward - because when you&rsquo;re at your best, we&rsquo;re at our best. You&rsquo;ll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning &amp; development with stipends and reimbursement programs.
 </p>
 <p>
  We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The base salary range for this role is $250,000-$290,000, depending on levels of skills and experience.
 </p>
 <p>
  <em>
   The base salary range represents the low and high end of CLEAR&rsquo;s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR&rsquo;s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units.
  </em>
 </p>
 <p>
  <em>
   CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.
  </em>
 </p>
 <p>
 </p>
 <span>
 </span>
</div>


Head of AI Engineering (Strategy and Innovation)

Openkyber

<div><p>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.</p>
<p>Job Title: Generative AI Architect Location: Montvale, NJ (Hybrid onsite)</p>
<p>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.</p>
<p>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 .</p>
<p>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 .</p>
<p>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 .</p>
<p>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 .</p>
<p>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.</p>
<p>Travel: Open to travel based-up on the nature of the engagement.</p>
<p>Thanks &amp; Regards OpenKyber Resource Manager (w): (E): 2260 Haggerty Road, Suite 285 Northville, MI 48167</p>
<p>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.</p>
<p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

Generative AI Intern

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