ai architect

Park Place Technologies

<div>AI Software Architect

The AI Software Architect is responsible for participating in all aspects of the software development life cycle from requirement gathering through user acceptance testing and implementation. In addition, this position will participate in the establishment and enforcement of programming patterns and standards, as well as provide mentorship to junior developers. 


Responsibilities: 

<ul>
<li>Collaborate with BAs and end users to interpret requirements into a technical design through onsite requirements gathering sessions, workshops, and solution design reviews.</li>
<li>Develop software according to end user requirements and quality standards.</li>
<li>Identify, document and implement programming patterns and set standards.</li>
<li>Perform code reviews to enforce patterns and standards in our code base while facilitating in-person knowledge sharing and architectural consistency across teams.</li>
<li>Lead POCs, design sessions, and pair programming efforts.</li>
<li>Mentor junior team members.</li>
<li>Participate in project planning and/or provide accurate estimates on projects/tasks through cross-functional planning meetings and stakeholder alignment discussions.</li>
<li>Participate in Story Card Grooming and Sprint Planning as requested.</li>
<li>Be available as needed to support production deployments.</li>
<li>Possess strong organizational and process analysis skills.</li>
<li>Effectively communicate both orally and in writing and manage multiple assignments and priorities.</li>
<li>Actively teach best practices and new technologies.</li>
<li>Hold teaching sessions at least once a year.</li>
<li>Facilitate daily standups and lead sprint demos as needed.</li>
<li>Assist managing the Azure DevOps task board as needed.</li>
<li>Assist with onboarding and training new resources.</li>
<li>Participate in interviews upon request.</li>
<li>Support, troubleshoot and resolve production issues, including facilitating in-person incident response discussions and cross-functional problem resolution when required.</li>
<li>Demonstrate willingness to work on your craft and take initiative in learning new skills.</li>
<li>Other duties as assigned.</li></ul> 


Basic Qualifications: 

<ul>
<li>Subject Matter Expert with Visual Studio, GIT and Azure DevOps</li>
<li>10+ years of application development experience across the following technologies:</li>
</ul><ul><li><ul><li>.Net Framework/Core</li>
<li>Angular</li>
<li>C#</li>
<li>JSON</li>
<li>SCSS/SASS</li>
<li>SQL</li>
<li>Test Driven Development/Unit Testing</li>
<li>Typescript, ES6</li>
<li>Web API/Rest</li>
<li>Agile Methodology</li>
<li>Asynchronous Programming</li>
<li>Azure Data Bricks</li>
<li>Azure Data Factory</li>
<li>Azure Functions</li>
<li>Azure Logic Apps</li>
<li>Azure PAAS</li>
<li>Browser Compatibility Testing</li>
<li>Cosmos DB</li>
<li>CQRS Pattern</li>
<li>Dependency Injection</li>
<li>Entity Framework &amp; LINQ</li>
<li>MicroServices</li>
<li>OData</li>
<li>Python</li></ul></li></ul> 

In addition to core software architecture duties, this position will lead the design, integration, and governance of AI/ML-driven solutions across the application portfolio, ensuring responsible and scalable adoption of AI capabilities. 


Additional Responsibilities 

<ul>
<li>Architect and design solutions incorporating AI/ML components, including LLM-based features, intelligent automation, and predictive models.</li>
<li>Evaluate and select appropriate AI frameworks, models, and platforms (e.g., Azure AI/OpenAI services, LangChain, vector databases) based on business requirements and technical constraints.</li>
<li>Design and implement Retrieval-Augmented Generation (RAG) pipelines, prompt engineering strategies, and model orchestration patterns.</li>
<li>Establish patterns and standards for responsible AI use, including data privacy, model governance, bias mitigation, and explainability.</li>
<li>Collaborate with data engineering and data science teams to integrate AI/ML models into production applications and CI/CD pipelines.</li>
<li>Design scalable architectures for embedding generation, semantic search, and vector storage/retrieval.</li>
<li>Evaluate build-vs-buy tradeoffs for AI tooling and vendor platforms.</li>
<li>Monitor AI solution performance, cost, and accuracy in production, and drive continuous improvement.</li>
<li>Stay current on emerging AI/ML technologies, LLM capabilities, and industry best practices, and evangelize relevant advances to engineering teams.</li>
<li>Mentor developers on AI-assisted development tools and practices (e.g., AI coding assistants, automated testing/generation tools).</li>
<li>Partner with security and compliance teams to ensure AI solutions meet regulatory and data governance requirements.</li></ul> 


Additional Basic Qualifications 

<ul>
<li>Demonstrated experience architecting or building solutions using Large Language Models (LLMs) and generative AI.</li>
<li>Experience with prompt engineering, RAG architectures, and vector databases (e.g., Cosmos DB vector search, Pinecone, Azure AI Search).</li>
<li>Familiarity with AI/ML orchestration frameworks (e.g., LangChain, Semantic Kernel) and MLOps practices.</li>
<li>Working knowledge of Python-based AI/ML libraries and APIs (e.g., OpenAI SDK, Azure OpenAI, Hugging Face).</li>
<li>Understanding of responsible AI principles: data privacy, model bias, explainability, and governance.</li>
<li>Experience integrating AI capabilities into cloud-native (Azure) application architectures.</li></ul> 


Education: 

<ul>
<li>Bachelor&rsquo;s degree or higher in Computer Science or related degree is preferred.</li></ul> 


Travel: 

<ul>
<li>&lt;5%</li></ul> 


If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by calling 1-877-778-8707. 


Park Place Technologies is an Equal Opportunity Employer M/F/D/V. 


Park Place Technologies has an in-house recruiting team that focuses exclusively on the hiring needs of our company. We are not currently accepting additional third-party agreements or unsolicited resumes. If you would like to be considered as a preferred partner with Park Place Technologies, please submit your detailed information to careers@parkplacetech.com. Any CVs submitted directly to hiring managers will be considered unsolicited and become the property of Park Place Technologies.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</div>

AI Software Architect

EPAM Systems

<div>We are seeking an experienced AI Solution Architect to design and help implement an agentic workflow across our department. In this role, you will shape an end-to-end AI-driven pipeline spanning UX/UI, Backend, Frontend, and QA stages under IT PM oversight, collaborating closely with cross-functional teams to deliver a practical, actionable solution.
Responsibilities<ul><li>
Review the existing state and way of working, gathering input from key stakeholders</li><li>
Architect an agentic flow tailored to client expectations</li>
Propose relevant tools and integrations across UX BE FE<li> QA</li><li>
Collaborate with the team to validate and kickstart implementation</li><li>
Deliver a clear, actionable proposal</li><li>
Support the team in executing the proposal within a 15-day implementation window</li></ul>
Requirements<ul><li>
7+ years of experience architecting agentic/AI workflows within development pipelines</li><li>
Proficiency in Python and Django</li><li>
Skills in JavaScript and React</li><li>
Familiarity with Figma-to-Code standards and tools such as Kiro</li><li>
Knowledge of test automation practices and manual QA integration</li><li>
Capability to quickly ramp up, deliver a practical proposal, and support its implementation within tight timelines</li><li>
Proficiency in English at an Upper-Intermediate level (B2) or higher</li></ul>
We offer<ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee and snacks</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft&rsquo;s Software Assurance Home Use Program (HUP)</li></ul></li></ul>
Please note that our Talent Attraction Team reviews applications and CVs submitted in English.
EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. We deliver globally and engage locally, making the future real for clients, partners, and employees. We are proud to be recognised by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world.</div>

AI Solution Architect

Reverse

<div>Our client is a global management consulting firm and leading advisor on business strategy. It&rsquo;s one of the MBBs.
 
They support our clients&rsquo; total digital transformation through technology, design, cybersecurity, and risk management &amp; financial engineering capabilities. And together their interdisciplinary team of technical experts enable customized technical solutions and accelerate delivery value through new business platforms, application consolidations, and major system implementations.
 
 
We are looking for an AI TECH ARCHITECT who will collaborate with colleagues on national and international projects, independently structuring project modules and supporting younger project members.
 
If you want to turn the challenges of digitization into the solutions of the future, join the team in tackling the core IT issues of leading global companies. Deploy customized platforms, architectures, strategies, and organizations to leverage the digital potential of our customers and drive true innovation, with state-of-the-art technologies such as cloud computing, AI, blockchain, microservices, and containerization.
 
You'll work on several projects closely with professional colleagues who are cross-functional on projects. The industries where you could work on will be Oil&amp;Gas, Energy, Public sector, Technology media e Telecommunications, Financial Institutions, Banking &amp; Assurance, Private equity.
 
 
You are good at: 
 
<ul><li>Shaping the digital transformation of globally leading companies, ensuring their success by evaluating their clients' digital capabilities and performing feasibility studies;</li>
<li>Managing small, agile development teams in strategic IT implementation programs, establishing modern practices like DevOps and CI/CD, and being responsible for the technical implementation of crucial digital requirements such as cyber resilience;</li>
<li>Analysing, developing, and optimizing cutting-edge, customized IT architectures while applying your comprehensive understanding of legacy IT, enterprise solutions, and current market developments such as cloud computing, microservices and blockchain.</li> 
</ul> 
This position is open to professionals with verticalization in Cloud or Data (e.g., with previous employers such as Amazon/ AWS, Azure/ Microsoft, and Google Cloud or cloud transformation projects in consulting).
 
 
Requirements: 
 
<ul><li>Degree in computer science, (business) informatics, or a related discipline;</li>
<li>Between 2 to 5 years of relevant experience in IT Consulting or software development;</li>
<li>Knowledge of modern technologies such as machine learning, cyber resilience, DevOps, agile methods, AI, and robotics aren't just buzzwords, but essential to sustainable IT architectures;</li>
<li>Broad technical expertise and interest in technology trends;</li>
<li>Feeling particularly comfortable in interdisciplinary teams and global contexts;</li>
<li>Experience with hyperscalers, with additional certifications from AWS, Azure, GCP, AliCloud, or TencentCloud;</li>
<li>Good at understanding and communicating complex topics in English (Arabic is a plus);</li>
<li>Flexibility and willingness to travel to our client locations in the Middle East and beyond).</li> 
</ul> 
If you fit the description above, you're hunger to get involved in one of the world's leading companies and eager to gain international experience, then apply below! Add your individual strengths to their unique team, who are always there to support you. Together with them and their clients, you&rsquo;ll turn digital visions into reality!
 
 
Workplace: Doha. RELOCATION REQUESTED. Full remote is not allowed.
 
VISA: The company will handle the entire VISA application process once the decision to proceed with the candidate's hiring has been made.
 
Compensation scheme:
 
tax-free annual salary (starting from 273.000 QAR)
 
variable component (MBOs)
 
relocation allowance
 
company-paid housing and other benefits.</div>
 <div><div><h2 class="jobSectionHeader">Summary</h2>
Relocation is required
 </div><ul><li>(starting from 273.000 QAR)
 </li><li>On-site
 </li><li>Permanent
 </li><li>Doha</li></ul></div>

AI TECH ARCHITECT - DOHA

Tesla

<div>What to Expect<div>
The Tesla AI Hardware team is at the forefront of revolutionizing artificial intelligence through cutting-edge hardware innovation. Comprising brilliant engineers and visionaries, the team designs and develops advanced AI inference chips tailored to accelerate Tesla&rsquo;s machine learning capabilities. A key part of this effort is Dojo, Tesla's custom supercomputer system built to efficiently train massive neural networks on vast video data from the fleet. The work of Tesla's AI Hardware team powers the neural networks behind Full Self-Driving (FSD), and Tesla humanoid robot, Optimus, pushing the boundaries of computational efficiency and performance. By creating custom silicon and optimized architectures, the team ensures Tesla remains a leader in AI-driven automotive and energy solutions, shaping a future where intelligent machines enhance human life. 
 
As a key member of the Tesla AI hardware team, the AI/ML Compute Architect will drive the innovation and optimization of computing architectures tailored for artificial intelligence and machine learning applications. This role involves visionary hardware-software co-design, accelerator development, and distributed systems engineering to create efficient, scalable solutions that power cutting-edge AI workloads. The ideal candidate is a strategic thinker with proven expertise in balancing performance, power, and scalability, delivering simple yet high-impact implementations that accelerate Tesla's AI initiatives.</div> 
What You'll Do<div><ul><li>
Design and architect comprehensive end-to-end compute infrastructure for AI/ML pipelines, encompassing hardware specifications, system topologies, and custom accelerators</li><li>
Collaborate closely with system architects, micro architects, IP vendors, and program management to guide SoC (System-on-Chip) development from initial concept through to production-ready implementation</li><li>
Optimize the interplay between compute, storage, and interconnect to maximize throughput, minimize latency, and reduce energy consumption across training and inference scenarios</li><li>
Partner with ML model designers, compiler engineers, and software developers to build intuitive tools, frameworks, and abstractions that streamline the deployment and scaling of AI/ML workloads</li><li>
Lead performance modeling initiatives, simulating architecture and microarchitecture tradeoffs to inform design decisions and predict system behavior under real-world conditions</li><li>
Evaluate emerging technologies, such as novel accelerators or interconnect fabrics, and prototype innovative architectures to anticipate and address evolving AI compute demands</li><li>
Maintain expertise in the latest advancements in AI workloads, domain-specific languages (e.g., for ML optimization), computer architecture principles, and advanced simulation methodologies</li></ul></div> 

What You'll Bring<div><ul><li>
Degree in Electrical Engineering, Computer Science, Computer Engineering, or a related field, or equivalent in experience and evidence of exceptional ability</li><li>
Deep knowledge of CPU, GPU, and ML accelerator microarchitectures, including their design principles and performance characteristics</li><li>
Strong understanding of Large Language Models (LLMs), transformer-based architectures, and techniques for their training, inference, quantization, and optimization</li><li>
Proficiency in analyzing physical design constraints, including power, performance, and area (PPA) tradeoffs in hardware systems</li><li>
Exceptional problem-solving abilities, with a track record of dissecting complex technical challenges and devising innovative, practical solutions</li><li>
Hands-on experience with deep learning frameworks like PyTorch, JAX, Pallas, or similar tools for model development and optimization</li><li>
Excellent interpersonal and communication skills, enabling effective collaboration across diverse teams, from leadership to individual contributors</li><li>
Prior experience in performance analysis, including the use of simulation frameworks (e.g., gem5, SST) to model and benchmark systems</li><li>
Ability to work on-site at Tesla&rsquo;s Palo Alto office, contributing to a fast-paced, collaborative environment</li><li>
Proficiency in programming languages such as C/C++ and Python, with applications in hardware simulation, modeling, or system-level software</li></ul></div> 

Compensation and Benefits<div>
Benefits</div><div>
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
<ul><li>Medical plans &gt; plan options with $0 payroll deduction</li>
<li>Family-building, fertility, adoption and surrogacy benefits</li>
<li>Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution</li>
<li>Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA</li>
<li>Healthcare and Dependent Care Flexible Spending Accounts (FSA)</li>
<li>401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits</li>
<li>Company paid Basic Life, AD&amp;D</li><li>
Short-term and long-term disability insurance (90 day waiting period)</li>
<li>Employee Assistance Program</li>
<li>Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays</li>
<li>Back-up childcare and parenting support resources</li>
<li>Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft &amp; legal services, and pet insurance</li>
<li>Weight Loss and Tobacco Cessation Programs</li>
<li>Tesla Babies program</li>
<li>Commuter benefits</li>
<li>Employee discounts and perks program</li>
</ul></div><div>Expected Compensation</div><div>
$176,000 - $420,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</div> 
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. 
 
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.</div>

AI Compute Architect, AI Hardware

Genesys

<div></div><div><div><div><div><div><div>locations</div><div>
Dubai (Flexible)</div></div></div></div><div></div><div><div><div><div><div>
time type</div><div>
Full time</div></div></div></div><div></div><div><div><div><div>
posted on</div><div>
Posted 2 Days Ago</div></div></div></div><div></div><div><div><div><div>
job requisition id</div><div>
JR111883</div></div></div></div></div></div><div><div>
Be the one building AI-powered experiences where they matter most. 
At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. 
Help build, support and operate technology used by more than 8,000 organizations in over 100 countries &ndash; moving AI from possibility to production in real-world enterprise environments every day. 
Primary Mission
Design and lead the implementation of AI-powered customer experience solutions that achieve business outcomes while ensuring technical excellence, scalability, security, and operational readiness.
Key Responsibilities
Solution Architecture<ul><li>
Define end-to-end AI solution architectures for customer programs.</li><li>
Design integrations between Genesys Cloud, AI services, enterprise applications, data platforms, and third-party technologies.</li><li>
Establish architectural standards for scalability, resilience, security, and maintainability.</li><li>
Review and approve technical designs produced by project teams.</li></ul>
Technical Leadership<ul><li>
Serve as the technical authority for assigned customer engagements.</li><li>
Guide consultants and implementation teams through complex technical challenges.</li><li>
Lead architecture workshops and technical design sessions with customers.</li><li>
Provide governance throughout delivery to ensure alignment with the approved architecture.</li></ul>
AI &amp; Data Design<ul><li>
Design AI use cases including virtual agents, agent copilots, knowledge systems, workflow automation, and analytics solutions.</li><li>
Define data requirements, integration patterns, and AI governance considerations.</li><li>
Ensure responsible AI practices are incorporated into solution designs.</li></ul>
Customer Engagement<ul><li>
Advise customer technical stakeholders on architecture decisions and trade-offs.</li><li>
Present technical recommendations to enterprise architects, IT leaders, and platform owners.</li><li>
Build trusted-advisor relationships with customer technical teams.</li></ul>
Practice Contribution<ul><li>
Contribute reusable assets, reference architectures, and best practices.</li><li>
Mentor consultants and senior consultants.</li><li>
Support presales activities for complex technical opportunities.</li></ul>
Typical Scope<ul><li>
Large customer implementation</li><li>
Single strategic program</li><li>
Technical lead for a major deployment</li><li>
Influences project and account-level decisions</li></ul>
Qualifications:<ul><li>
7+ years of experience in solution architecture, technical consulting, or enterprise software delivery, with at least 3 years focused on AI or conversational / CX platforms.</li><li>
Hands-on familiarity with Genesys Cloud or comparable CCaaS / CPaaS platforms, including routing, digital channels, and developer APIs.</li><li>
Proven track record designing and deploying AI-powered solutions &mdash; virtual agents, LLM-based copilots, knowledge management systems, or predictive analytics &mdash; in production environments.</li><li>
Solid understanding of cloud architecture patterns (AWS, GCP, or Azure) and integration technologies such as REST/GraphQL APIs, event streaming, and identity/security protocols.</li><li>
Experience leading architecture design sessions, producing technical documentation, and presenting to senior technical and non-technical stakeholders.</li><li>
Comfort operating in a global, matrixed professional services environment &mdash; managing scope, quality, and customer relationships simultaneously.</li><li>
Strong communication skills: able to translate complex technical concepts for business audiences and business requirements into precise architectural decisions.</li><li>
Familiarity with responsible AI principles, data governance, and security-by-design practices in enterprise contexts.</li><li>
Industry experience in telecommunications, financial services, or airlines is a plus.</li><li>
Fluency in English.</li><li>
Fluency in Arabic is preferred.</li></ul> 
Working at Genesys<ul><li>
AI at enterprise scale &ndash; Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.</li><li>
A flexible-first culture &ndash; Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.</li><li>
Growth in the AI era &ndash; Build future-ready skills through mentorship, learning programs, leadership development and education support.</li><li>
Time to recharge and give back &ndash; Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.</li><li>
Recognized globally &ndash; Genesys is Great Place to Work&reg; certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.</li></ul>
Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. 
What Happens After You Apply
After you apply, here's what you can typically expect:<ul><li>
Our Talent Acquisition team reviews your application with the hiring team.</li><li>
A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.
</li><li>Next, you'll meet the hiring manager and other members of the interview team.</li><li>
We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.</li><li>
After interviews are complete, our team will follow up with the final steps.</li></ul>
Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. 
Stay Connected
Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.
Get notified about relevant opportunities.<h1 class="jobSectionHeader"> 
Be the one building what's next - where AI, experience and impact come together.</h1> 
Employee Referral
If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. 
About Genesys:
Genesys&reg; empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud&trade; is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com. 
Reasonable Accommodations:
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com. 
You can expect a response within 24&ndash;48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email. 
This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation&mdash;such as application follow-ups or resume submissions&mdash;may not receive a response. 
Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. 
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.</div></div></div>

Lead AI Solutions Architect, Customer Success

Photon

<div><div>Job Summary:
The Agentic AI Architect / Technical Lead will serve as the primary technical authority for designing and delivering large-scale Agentic AI solutions. This role acts as a critical bridge between product strategy, customer requirements, and engineering execution, requiring a strong blend of AI expertise, system architecture, and leadership skills.
The Architect will be responsible for leading architecture definition, driving complex proof-of-concept initiatives, enabling multi-agent system design, and managing cross-functional engineering teams. The role demands deep experience in LLM ecosystems, cloud-native platforms, and scalable system design to deliver robust, production-grade AI platforms with measurable business outcomes.
Key Responsibilities:
Solution Architecture: Lead the design and development of scalable, secure, and high-performance architectures for Agentic AI platforms using Python and modern frameworks
Technical Standards &amp; Deliverables: Define architecture patterns, engineering standards, and best practices for development, deployment, and system scalability
Collaboration: Work closely with product managers, engineering teams, DevOps, and QA to align technical solutions with business requirements and ensure seamless system integration
Stakeholder Interaction: Lead and execute technical POCs for Agentic AI solutions, working with customer stakeholders to define success criteria, build tailored agent configurations, and demonstrate business impact
Agent Orchestration: Architect and implement multi-agent workflows using frameworks such as LangGraph, AutoGen, or CrewAI, ensuring alignment with real-world use cases
Platform Development: Design and build resilient, scalable, multi-tenant AI platforms that support continuous innovation and production deployment
Evaluation &amp; Benchmarking: Own the design and implementation of LLM and agent evaluation frameworks, including metrics for accuracy, hallucination, safety, and performance
Performance Optimization: Optimize system architecture and infrastructure for scalability, latency, and cost-efficiency across AI workloads
Best Practices: Establish and enforce standards across MLOps, AIOps, CI/CD, model versioning, experimentation tracking, and system observability
Leadership &amp; Mentorship: Provide technical leadership, guide architectural decisions, and mentor engineering teams to ensure high-quality delivery
Innovation &amp; Research: Stay updated with advancements in AI, LLMs, and agentic frameworks, continuously improving system capabilities
Documentation: Create and maintain comprehensive architectural and technical documentation
Required Skills &amp; Qualifications:
<ul><li>12+ years of experience in software engineering with strong expertise in Python and backend system development
</li><li>Extensive experience in designing scalable, secure, multi-tenant AI/ML platforms
</li><li>Deep expertise in LLMs (OpenAI, Gemini, Anthropic, Llama) and agentic AI systems
</li><li>Hands-on experience with agent frameworks such as AutoGen, CrewAI, LangGraph, and LangChain ecosystem (LangChain, LangSmith, LangFlow)
</li><li>Strong experience building RAG-based systems and working with vector databases
</li><li>Proficiency in Python ecosystem including PyTorch, Scikit-learn, LlamaIndex, and evaluation tools like DeepEval
</li><li>Deep understanding of LLM concepts (prompt engineering, fine-tuning, function/tool calling, RAG)
</li><li>Strong experience in microservices architecture, REST APIs, and event-driven systems
</li><li>Expertise in relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis)
</li><li>Experience with cloud platforms (AWS, Azure, GCP) and cloud-native architectures
</li><li>Familiarity with Docker, Kubernetes , and modern DevOps practices
</li><li>Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions)
</li><li>Strong exposure to observability tools for logging, monitoring, and tracing AI systems
</li><li>Strong understanding of system design, scalability, and engineering best practices
</li><li>Proven ability to lead architectural discussions, mentor teams, and engage with stakeholders and clients
</li></ul>Compensation, Benefits and Duration
Minimum Compensation: USD 46,000
 
Maximum Compensation: USD 162,000
 
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
 
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
 
This position is not available for independent contractors
 
No applications will be considered if received more than 120 days after the date of this post.</div></div>

Technical Lead - Dallas, TX

pointer infotech L.L.C

OverviewJoin our innovative team as an AI Engineer and be at the forefront of developing cutting-edge artificial intelligence solutions that transform data into actionable insights. In this dynamic role, you will design, implement, and optimize AI models and machine learning frameworks to solve complex problems across various domains. Your expertise will drive the deployment of scalable AI systems, leveraging big data technologies and cloud services to deliver impactful results. This position offers an exciting opportunity to work with advanced tools and methodologies in a collaborative environment dedicated to pushing the boundaries of AI innovation.Responsibilities<ul><li>Job Summary:</li><li>We are looking for an experienced AI Engineer / Senior AI Architect with strong expertise in Agentic AI, Conversational AI, and AI solution development. The ideal candidate will have hands-on experience building AI solutions across Microsoft and Google ecosystems.Key Skills &amp; Responsibilities:Develop Agentic AI solutions, conversational agents, and virtual assistants.Hands-on experience with Microsoft Foundry and Azure AI services.Experience with Azure AI Search, Azure AI Language, Power Platform, and Copilot Studio.Develop AI conversational solutions using Google Dialogflow CX, Google Conversational Agents, and Google CCAI Services.Build and integrate APIs and web services with AI applications.Experience with NLP, Generative AI, LLMs, and AI/ML.Develop and maintain SharePoint Online solutions using Microsoft Power Platform.Train, deploy, monitor, and optimize AI models.Create Looker dashboards for monitoring AI agent performance.Strong programming skills in C#, .NET, JavaScript, or Python.Ensure AI solutions follow security, privacy, governance, and responsible AI practices.Collaborate with business SMEs and cross-functional technical teams.Lead AI Proof of Concept (POC) initiatives and present AI solutions to stakeholders.Required Experience:5+ years of IT experience.2+ years of AI Conversational Agent implementation experience.1+ year of Power Platform experience.Mandatory: Agentic AI development using Microsoft Foundry.Mandatory: SharePoint Online + Microsoft Power Platform.Mandatory: Google Conversational Agents / Dialogflow CX / Google CCAI Services.Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.*</li><li>No Visa sponsorship is available this time</li></ul>Pay: $65.00 - $70.00 per hourWork Location: In person

AI Engineer

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