ai solutions architect

Infinite Lambda

<div><h2 class="jobSectionHeader">Role Overview</h2>
The Data/AI Solutions Architect role at Infinite Lambda is designed for a technical leader who bridges sales and engineering, driving growth in a fast-growing consultancy focused on data and AI solutions. This position is crucial for engaging clients, shaping sales strategies, and expanding into new markets.
The position is titled Data/AI Solutions Architect, reporting directly to the General Manager, US, and is situated within the Global Sales Organization. This leadership role is critical for aligning technical expertise with sales objectives, ensuring Infinite Lambda&rsquo;s solutions meet client needs effectively.
LOCATION &amp; WORK ARRANGEMENTS
The role is remote, but you will be expected to travel occasionally to client sites, company meetings, and partner events.
DETAILED RESPONSIBILITIES
PROSPECTIVE CLIENT ENGAGEMENT<ul><li>
Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle;</li><li>
Understand and document client needs, articulating how Infinite Lambda&rsquo;s products and services can address these needs effectively;</li><li>
Work closely with the sales team to foster collaboration and develop compelling proposals that meet</li><li>
Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals;</li><li>
Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity;</li><li>
Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap.</li></ul>
LEAD SALES ENGINEER STRATEGY<ul><li>
Work with departments such as Product &amp; Services, Customer Success, and Sales &amp; Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions;</li><li>
Collaborate with Product &amp; Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends;</li><li>
Enhance the positioning of Infinite Lambda&rsquo;s products and services during the sales process and beyond, improving how value is communicated to clients;</li><li>
Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company&rsquo;s market positioning;</li><li>
Conduct regular research on industry trends, working with leadership to evolve strategies as appropriate to maintain competitiveness;</li><li>
Deepen subject-matter knowledge in Infinite Lambda&rsquo;s key industry verticals, ensuring a strong understanding of client needs and market dynamics.</li></ul>
ADDITIONAL DUTIES<ul><li>
Work with Infinite Lambda&rsquo;s executive team to help steer the company&rsquo;s overall strategy in a positive direction, providing insights from solutions architect perspectives.</li><li>
Represent Infinite Lambda at external conferences and events, promoting the company&rsquo;s brand, thought leadership, and expertise in data and cloud engineering.</li></ul>
REQUIREMENTS<ul><li>
Education: A Bachelor&rsquo;s degree in Engineering, Computer Science, or a related field is required; an advanced degree is preferred;</li><li>
Experience: A proven track record in data consulting, sales engineering or technical sales, preferably within the data, cloud, or technology sectors;</li><li>
Technical expertise: experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential;</li><li>
Data architecture: Stream processing and batch data warehouse processing, event-driven architecture, micro services, DataOps and MLOps practices;</li><li>
Communication skills: Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders;</li><li>
Leadership and strategy: Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion;</li><li>
Collaboration: Strong ability to work effectively across different departments and levels, fostering collaboration with Product &amp; Services, Customer Success, and Sales &amp; Partnerships;</li><li>
Market expansion: Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role.</li><li>
Traveling: The Solutions Architect role Requires travel at least once per month to NYC/California, Philadelphia, etc...</li></ul><h2 class="jobSectionHeader">
INTERVIEW PROCESS</h2><ul><li>
Intro call with TABP: 45-min</li><li>
Interview with General Manager: 45-min</li><li>
Technical interview with Head of Engineering/CTO and Presales Engineer: 90-min</li><li>
Cultural Chat with CEO: 45-min</li></ul>
Why join Infinite Lambda<ul><li>
We support your growth with dedicated learning time, access to top-notch resources and a knowledge-sharing culture;</li><li>
You work autonomously here in a wholesome environment and get as much paid holiday as you need;</li><li>
The projects are diverse and give you plenty of opportunity to experiment with new tech;</li><li>
The benefits are plenty, with work-from-home budget, a company MacBook and more on the list.</li></ul>
Submit your CV in English in PDF.
Mind that as we are an international team, internal communication is in English.
In the US, as a final step in the hiring process, applicants are required to undergo a criminal background check with an accredited third-party screening company. Employment offers depend on the successful completion of this background check and the verification of all relevant information. We will request your explicit written consent before any screening begins.
We are committed to fair hiring practices and will consider all qualified applicants in accordance with applicable federal, state, and local laws governing criminal background inquiries.
Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other.
Compensation Range: $180K - $210K</div>

Data/AI Solutions Architect

LN Technologies

Key Responsibilities1. Architecture &amp; Technical Leadership<ul><li>Design end-to-end architectures for AI solutions, IoT platforms, mobile apps, data platforms, and cloud-native systems</li><li>Create architecture diagrams, data models, API specifications, and cloud infrastructure plans</li><li>Define security and compliance frameworks for scalable systems</li><li>Evaluate and recommend emerging technologies aligned with R&amp;D objectives</li><li>Establish architecture standards and best practices across projects</li></ul>2. Project Oversight &amp; Delivery Management<ul><li>Serve as technical lead and solution owner for software development projects</li><li>Collaborate with product managers and engineering teams to break down requirements</li><li>Define technical scope and architecture approach</li><li>Estimate effort and guide sprint planning</li><li>Ensure adherence to code quality, security, and DevOps best practices</li><li>Oversee AI model governance and system integration strategies</li></ul>3. R&amp;D &amp; Innovation Enablement<ul><li>Partner with research teams to translate concepts into technical architectures</li><li>Support technical sections of grant proposals and innovation initiatives</li><li>Prototype new ideas using rapid experimentation and POCs</li><li>Evaluate new frameworks, tools, and platforms for innovation programs</li><li>Drive adoption of emerging technologies in product development</li></ul>4. System Design &amp; Integration<ul><li>Architect scalable cloud-native and microservices-based systems</li><li>Design API-first and event-driven architectures</li><li>Define data platform architectures and integration strategies</li><li>Ensure system scalability, reliability, and performance optimization</li><li>Implement secure system integration across platforms</li></ul>5. Security &amp; Compliance Governance<ul><li>Ensure architecture compliance with security standards (HIPAA, NIST, etc.)</li><li>Define secure authentication, authorization, and data protection models</li><li>Implement risk mitigation strategies in system design</li><li>Enforce cloud security and DevSecOps practices</li></ul>6. Team Management &amp; Leadership<ul><li>Manage and oversee the performance of the engineering and architecture team</li><li>Provide technical mentorship and guidance to team members</li><li>Allocate resources and balance workload across projects</li><li>Conduct performance reviews and support team development plans</li><li>Ensure team adherence to architecture standards and delivery timelines</li><li>Foster collaboration across cross-functional teams</li></ul>7. Stakeholder Collaboration<ul><li>Collaborate with clients, government partners, universities, and internal teams</li><li>Present technical architectures to non-technical stakeholders</li><li>Validate solution feasibility and scalability with cross-functional teams</li><li>Provide technical guidance to engineering and product teams</li></ul>8. Technical Documentation &amp; Knowledge Sharing<ul><li>Document architecture designs and technical decisions</li><li>Prepare architecture guidelines and reusable frameworks</li><li>Conduct knowledge-sharing sessions with engineering teams</li><li>Maintain architecture standards and governance documentation</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field</li><li>7+ years of experience in software architecture or senior engineering roles</li><li>Hands-on experience with cloud platforms (Azure, AWS, or GCP)</li><li>Experience with AI/ML frameworks (TensorFlow, PyTorch, Azure ML, SageMaker)</li><li>Experience with IoT ecosystems and edge computing</li><li>Strong knowledge of API and microservices architecture</li><li>Experience with mobile applications and data platforms</li><li>Experience leading software development teams</li><li>Strong understanding of scalability, security, and system integration patterns</li></ul>Preferred Qualifications<ul><li>Experience with healthcare systems and HIPAA/FDA compliance</li><li>Experience architecting AI systems for real-time data or predictive analytics</li><li>Experience working in R&amp;D or innovation environments</li><li>Relevant certifications (AWS Solutions Architect, Azure Solutions Architect, TOGAF, PMP, etc.)</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs450,000.00 per monthApplication Question(s):<ul><li>How many years of experience do you have in software architecture or senior development roles?</li><li>Have you led or managed software developers or Project Managers? If yes, please mention the team size.</li><li>What is your current notice period or earliest joining availability?</li><li>Please share your reason for leaving your current/last employer.</li><li>Please share your current salary.</li><li>Please share your expected salary.</li></ul>Work Location: In person

Solution Architect – Emerging Technologies

c2 labs

<div><h2 class="jobSectionHeader">Position Summary</h2>

C2 Labs is seeking a Principal AI Platform Architect to help design and deliver AI-powered solutions that improve operational efficiency, automation, and decision-making across regulated environments that is on site in Knoxville, TN.

This role will lead the architecture and implementation of enterprise AI capabilities, including intelligent automation, knowledge systems, workflow orchestration, and platform integrations, while ensuring scalability, security, and governance.
<h2 class="jobSectionHeader">
What You'll Do</h2>
<h3 class="jobSectionHeader">Security, Compliance &amp; Governance</h3>
<ul><li>Design secure AI architectures for regulated environments</li>
<li>Implement AI governance and model security controls</li>
<li>Support FedRAMP, RMF, CMMC, and government compliance requirements</li>
<li>Develop reusable compliance intelligence and automation frameworks</li>
</ul><h3 class="jobSectionHeader">AI Platform Architecture</h3>
<ul><li>Define and evolve enterprise AI platform strategy</li>
<li>Design scalable AI services, agent frameworks, and orchestration patterns</li>
<li>Evaluate and integrate emerging AI technologies</li>
<li>Establish AI governance, security, and architecture standards</li>
</ul><h3 class="jobSectionHeader">Agentic AI &amp; Knowledge Systems</h3>
<ul><li>Design multi-agent systems and human-in-the-loop workflows</li>
<li>Build enterprise copilots, digital workers, and AI-driven automation</li>
<li>Architect Retrieval-Augmented Generation (RAG) solutions</li>
<li>Design vector search, semantic retrieval, and knowledge architectures</li>
<li>Integrate structured and unstructured enterprise data sources</li>
</ul><h3 class="jobSectionHeader">Platform Integration &amp; Automation</h3>
<ul><li>Design API-first architectures and workflow orchestration strategies</li>
<li>Integrate AI capabilities with:
<ul><li>Microsoft Copilot Studio</li>
<li>Power Platform</li>
<li>ServiceNow</li>
<li>Archer</li>
<li>eMASS</li>
<li>Security and compliance tooling</li>
</ul></li></ul><h2 class="jobSectionHeader">Required Qualifications</h2>
<h3 class="jobSectionHeader">Experience</h3>
<ul><li>10+ years of software, platform, or solution architecture experience</li>
<li>3+ years building production AI systems</li>
<li>Experience leading architecture from concept through deployment</li>
</ul><h3 class="jobSectionHeader">Technical Expertise</h3>
<ul><li>Agentic AI architectures</li>
<li>RAG and vector databases</li>
<li>LLM orchestration frameworks</li>
<li>Cloud-native architectures</li>
<li>Enterprise SaaS platforms</li>
<li>API integrations and workflow orchestration</li>
<li>OpenAI, Anthropic, Azure AI, AWS Bedrock, or Vertex AI</li>
</ul><h3 class="jobSectionHeader">Preferred</h3>
<ul><li>Archer, RegScale, eMASS, Xacta, or similar platforms</li>
<li>Product strategy, enterprise architecture, or AI productization experience</li>
</ul><h2 class="jobSectionHeader">Why Join C2 Labs?</h2>

You'll have the opportunity to shape a first-of-its-kind AI-powered compliance platform that combines intelligent agents, enterprise knowledge systems, and automation to transform how organizations achieve and maintain compliance in highly regulated environments.

EEO STATEMENT:

We are an equal opportunity employer. All qualified applicants will be considered without discrimination based on race, color, religion, sex, national origin, age, disability, or protected veteran status. Employment offers will be contingent on passing a pre-employment drug screen.</div>

Principal AI Architect

THUNDERYARD SOLUTIONS

OverviewWe are seeking a mid-level AI Solutions Architect / Systems Integration SME to support a high-priority initiative for our federal client. This role will operate in a fast-paced, mission-critical environment, requiring both strong technical depth and the ability to collaborate across stakeholders.The ideal candidate will bring a blend of solution architecture expertise, software development experience, and applied AI/LLM capabilities, along with familiarity working in government shared services environments.Key Responsibilities<ul><li>Serve as a Solution Architect and technical SME supporting enterprise IT and AI-enabled initiatives.</li><li>Design, document, and deliver solution architectures aligned with federal IT standards and Treasury requirements.</li><li>Support system integration efforts across enterprise platforms, SaaS solutions, and internal applications.</li><li>Lead and participate in architecture reviews, technical design sessions, and SDLC governance activities.</li><li>Apply foundational LLM tools and AI-assisted workflows to generate technical artifacts and accelerate delivery.</li><li>Translate business and technical requirements into scalable, secure, and compliant solutions.</li><li>Facilitate requirements gathering sessions and technical meetings with government stakeholders.</li><li>Support Tier 2 / Tier 3 service desk operations, troubleshooting complex system issues.</li><li>Configure and provision enterprise SaaS platforms and integrate them into existing environments.</li><li>Collaborate with cross-functional teams to implement CI/CD pipelines and modern development practices.</li></ul>Required Qualifications<ul><li>Eligibility for or possession of a Public Trust clearance (Treasury preferred).</li><li>Experience working in a government or federal shared services environment.</li><li>Strong understanding of the Software Development Lifecycle (SDLC) and governance processes.</li><li>Hands-on experience with:</li><li>Software development and architecture reviews</li><li>Modern development tools (e.g., GitHub, VS Code)</li><li>Cloud platforms (AWS and/or Azure)</li><li>CI/CD pipelines and DevOps practices</li><li>Experience leveraging LLM tools (e.g., ChatGPT, Copilot, or similar) for:</li><li>Generating technical documentation</li><li>Supporting coding workflows</li><li>Producing government-ready deliverables</li><li>Experience with ServiceNow (administration, configuration, or integration).</li><li>Background in enterprise SaaS provisioning and configuration.</li><li>Experience supporting service desk operations (Tier 2 or Tier 3).</li><li>Strong skills in:</li><li>Requirements analysis and documentation</li><li>Meeting facilitation and stakeholder engagement</li><li>Technical writing for government audiences</li></ul>Preferred Qualifications<ul><li>Prior experience supporting the U.S. Department of Treasury or similar federal agencies.</li><li>Familiarity with AI/ML solution architecture and integrating AI into enterprise workflows.</li><li>Experience working on high-visibility, executive-level IT initiatives.</li><li>Ability to thrive in a high-tempo, evolving project environment.</li></ul>Compensation$150,000-$170,000 annually, plus benefits including medical, dental, vision coverage, PTO, and partial 401(k) matchVettingCandidates selected will be subject to a background investigation for clearance eligibility by our government client.ThunderYard Solutions is proud to be an Equal Opportunity Employer. We don&rsquo;t just accept difference &ndash; we celebrate it, we support it, and we thrive on it for the benefit of our employees, our community, and our customers. All applicants will be considered for employment without discrimination of race, color, religion, or belief, national, social, or ethnic origin, sex, age, physical, mental, or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union, or domestic partnership status, protected veteran status, family medical history or genetic information. Pay: $150,000.00 - $170,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Flexible schedule</li><li>Health insurance</li><li>Paid time off</li><li>Professional development assistance</li><li>Vision insurance</li></ul>Work Location: Remote

AI Solution Architect- Department of Treasury

<div>
 
 Introduction
 
 
 
 in this role, you&rsquo;ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
 
 
 You&rsquo;ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
 
 
 Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you&rsquo;ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a Data Scientist with expertise in Artificial Intelligence, you will skillfully combine data analysis and business acumen to tackle cognitive computing challenges. You will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Your primary responsibilities will include:
 
 
 <ul>
 <li>
 Design AI Solutions: Architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, and experience in tools like Github Copilot and Amazon Code Whisperer.
 </li>
 <li>
 Develop Cognitive Solutions: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, utilizing expertise in NLP, ML, and other specialized areas such as Image Processing, Video Processing, Voice Processing, or Watson technologies.
 </li>
 <li>
 Implement AI Frameworks: Apply strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, to develop and deploy AI models.
 </li>
 <li>
 Manage AI Project Lifecycle: Oversee the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful project delivery.
 </li>
 <li>
 Collaborate with Stakeholders: Work with various stakeholders to identify business problems and leverage the power of artificial intelligence for cognitive computing, driving business value through AI-driven solutions.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Bachelor's Degree
 
 
 
 Technical Skills
 
 
 
 
 Required technical and professional expertise
 
 
 
 <ul>
 <li>
 Proficiency in programming languages such as Python, R, or Scala.
 </li>
 <li>
 Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).
 
 
 </li>
 </ul>
 
 Leadership Skills
 
 
 
 <ul>
 <li>
 Leadership skills with the ability to inspire and motivate junior team members.
 </li>
 <li>
 Strategic thinking with the ability to align data science initiatives with business objectives.
 </li>
 <li>
 Very good communication skills, capable of conveying complex ideas to a variety of audiences.
 </li>
 <li>
 Proven ability to work collaboratively in projects with cross-functional teams.
 </li>
 <li>
 Experience in building/scaling data science teams and implementing AI solutions in a large (preferably consulting) organization.
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning deployment.
 </li>
 <li>
 Strong knowledge of Natural Language Processing (NLP) and AI ethics.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Familiarity with Modern UI: Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, with the ability to apply this knowledge in developing AI solutions.
 </li>
 <li>
 Understanding of Libraries: Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc., with the ability to apply this knowledge in developing AI solutions.
 </li>
 <li>
 Operating Systems Knowledge: Experience working with various operating systems (Linux, Windows, iOS, Android), with the ability to apply this knowledge in developing and deploying AI solutions.
 </li>
 </ul>
</div>

Data Scientist - Artificial Intelligence

Infosys

<div>Principal Consultant &ndash; GenAI / Agentic Systems, Infosys Consulting 
 
The Role &ndash; What You&rsquo;ll Do 
 
We are seeking a hands-on AI Engineer / AI Architect with a background in financial services to design, build, and scale GenAI-powered solutions for banking and financial services. The role focuses on LLM application development, agent orchestration, and data-driven AI pipelines to be developed for specific financial services use cases. 
 
Key Responsibilities 
<ul><li>Work with business stakeholders (Banking and financial services) to identify the problem statement and participate in / lead solution design</li><li>
Design and develop GenAI solutions using LLMs (Claude, OpenAI, etc.)</li><li>
Build agent-based workflows using frameworks such as LangChain / Google ADK / similar</li><li>
Develop RAG pipelines, semantic search, and knowledge-driven applications</li><li>
Implement prompt engineering, evaluation frameworks, and guardrails</li><li>
Work closely with architects, SMEs, and product owners to translate business requirements into AI solutions</li><li>
Perform testing, validation, and optimization of AI models and pipelines</li><li>
Coordinate with business and technology stakeholders for program delivery</li></ul> 

Required Skills 
<ul><li>Experience in Python-based AI/ML development</li><li>
Understanding of:
<ul><li>LLMs and GenAI architectures</li><li>
Prompt engineering and chaining techniques</li><li>
Data processing and pipelines
</li></ul></li><li>Understanding of Graph RAG
</li><li>Hands-on with one or more:
<ul><li>LangChain / similar frameworks</li><li>
Claude / OpenAI / other LLM APIs</li></ul></li><li>
Working knowledge of:
<ul><li>Vector databases, embeddings, semantic search</li><li>
API integrations and microservices</li></ul></li><li>
Exposure to Financial services domain 
</li></ul> 
 
Basic Qualifications<ul><li>
Bachelor&rsquo;s degree or equivalent required</li><li>
Prior work experience of 8-12 years either in management consulting or directly working on advisory business, technology or operational change initiatives in Capital Markets industry.</li><li>
Strong problem-solving mindset</li><li>
Ability to work in fast-paced AI delivery pods</li><li>
Balance of hands-on coding + solution thinking</li><li>
Familiarity with banking and financial services domain</li><li>
Ability to travel up to 75%.</li><li>
Location &ndash; Dallas, Charlotte, NJ/NY</li><li>
U.S. citizens and those authorized to work in the U.S. are encouraged to apply. Infosys will not sponsor H-1B or other work authorization for this role at this time.</li></ul> 

Preferred Qualifications / Skills<ul><li>
Exposure to Google ADK / agentic frameworks</li><li>
Experience with knowledge graphs and graph-based retrieval</li><li>
Understanding of banking / financial services domain</li><li>
Familiarity with cloud platforms (Azure / AWS / GCP)
</li><li>Data engineering basics (SQL, schema, profiling)</li><li>
Ability and willingness to work as part of a cross-cultural team including flexibility to support multiple time zones when necessary</li><li>
Candidates should be able to ramp up quickly with minimal support, take full ownership of assigned tasks, and consistently deliver against timelines and commitments. 
 
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: -</li></ul><ul><li>
Medical/Dental/Vision/Life Insurance</li><li>
Long-term/Short-term Disability</li><li>
Health and Dependent Care Reimbursement Accounts</li><li>
Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)</li><li>
401(k) plan and contributions dependent on salary level</li><li>
Paid holidays plus Paid Time Off</li></ul></div>

AI Architect - GenAI / Agentic Systems - Financial Services - Infosys Consulting

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 9 Days Ago</div></div></div></div><div></div><div><div><div><div>
job requisition id</div><div>
JR111172</div></div></div></div></div></div><div><div>
Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.<div>
The Genesys AI Architect is a senior presales AI specialist who operates across three core motions:<ul><li>
Driving strategic AI opportunities with customers and sales teams
</li><li>Scaling the field through reusable assets, technical enablement, and coaching</li><li>
Shaping product and go-to-market direction through real-world customer and field feedback
</li></ul>This role requires a blend of deep AI technical acumen, exceptional sales, communication, and executive storytelling skills, and the ability to translate complex capabilities into clear, actionable business value.
Key Responsibilities:<ul><li>
Design end-to-end AI systems for customer experience use cases. Architect reliable, production-ready AI solutions that go beyond prompt design, combining LLMs, deterministic workflows, tools, and orchestration layers. Define how AI interacts across the full journey (self-service, agent copilot, journey management, and back-office automation), including fallback strategies, human handoff, and failure handling.</li><li>
Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where required. Design scalable knowledge and retrieval strategies that ground AI responses in enterprise data. Develop approaches for content structuring, chunking, embedding, and ranking to ensure accuracy, relevance, and freshness. Partner with customers to align AI outputs with trusted knowledge sources while balancing performance, latency, and governance requirements.</li><li>
Establish AI evaluation frameworks and quality measurement strategies. Define how success is measured for AI-driven experiences, including accuracy, containment, customer satisfaction, and business impact. Create test sets, evaluation methodologies, and feedback loops to continuously improve performance. Translate technical quality metrics into business-relevant outcomes to support customer decision-making and adoption.</li><li>
Engineer contextual AI experiences that leverage real-time data and conversation state. Design how AI systems incorporate dynamic context such as customer data, interaction history, and external signals. Optimize context management and prompt structure to maximize relevance while managing token limits and response quality. Ensure AI interactions remain coherent, personalized, and aligned across channels and touchpoints.</li><li>
Design for scalability, latency, and cost efficiency in enterprise environments. Evaluate and optimize AI solutions for real-world constraints, including response time (especially for voice), throughput, and cost at scale. Make informed tradeoffs across model selection, caching strategies, and architecture patterns to deliver performant and economically viable solutions. Ensure designs meet enterprise expectations for reliability and responsiveness.</li><li>
Leverage expert-level knowledge of Genesys AI capabilities to articulate and demonstrate product value to customers and prospects.</li><li>
Support pre-sales activities such as technical discovery, solution design, product demonstrations, sandbox/trial engagements, AI integration guidance, and value assessments.</li><li>
Design and deploy AI prototypes in sandbox and/or customer development environments to validate use cases, integrations, latency, and success criteria, and to highlight the differentiated value of Genesys AI.</li><li>
Partner with account teams and Professional Services to transition successful prototypes into production pilots supporting technical handoff, hardening, KPI alignment, and business outcome validation.</li><li>
Build integrations to third-party systems via RESTful APIs and emerging interoperability patterns such as MCP and A2A showcasing the art of the possible with Genesys Cloud AI solutions.</li><li>
Develop reusable technical assets and enable Solution Consultants, partners, and account teams through workshops, coaching, and scalable technical content.</li><li>
Provide technical feedback and strategic insights to Product Management and Engineering on AI product design, implementation considerations, and customer-driven enhancements.</li><li>
Influence CIO/CTO-level stakeholders and position Genesys as integral to an organization&rsquo;s broader IT and transformation strategy.</li></ul>
Requirements:</div><div><ul><li>
AI Architecture &amp; Technical Judgment: Hands-on experience designing modern AI solutions for customer experience orchestration and contact center use cases using the right mix of classic ML, NLU/NLP, retrieval-based systems, LLMs, orchestration patterns, tool use and agentic approaches. Ability to make and defend architecture tradeoffs across latency, cost, explainability, governance, multilingual requirements, and business risk.</li><li>
Enterprise Integration &amp; Real-Time Design: Expertise integrating AI solutions with enterprise platforms, knowledge sources, RESTful APIs, event-driven architectures, identity systems, and broader cloud ecosystems. Able to design for real-world constraints including voice latency, fallback paths, throughput, reliability, and secure data access.</li><li>
Evaluation, Governance &amp; Observability: Ability to define AI evaluation strategies, success metrics, and monitoring approaches across offline and online testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control.</li><li>
Executive Communication &amp; Field Enablement: Strong ability to translate complex AI architectures into clear business value for technical and executive stakeholders, while also creating reusable assets, workshops, and enablement content that scale field capability across the SC organization.</li><li>
Prompt Design &amp; AI Workflow Optimization: Practical experience designing prompts, context strategies, and orchestration flows as part of a broader system architecture, rather than as a standalone discipline.</li><li>
Technical Demonstration Prowess: Proven ability to create, deliver, and adapt compelling technical demonstrations and presentations that clearly articulate AI integration points and business impact.</li><li>
Sales Acumen: Demonstrated success partnering with sales teams to understand customer challenges and provide AI-focused technical solutioning.</li><li>
Business Value Orientation: Ability to identify opportunities for process optimization and recommend AI-driven solutions that enhance customer outcomes and operational efficiency.</li><li>
Executive Presence: Proven ability to influence CIO/CTO decision-makers.</li><li>
Strong understanding of the Genesys Cloud platform and Genesys AI preferred.</li><li>
Foundational understanding of programming concepts (Python preferred).</li><li>
Fluency in English and Arabic languages.</li><li>
French language fluency as a plus.</li></ul>
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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.
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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>

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