ai architect

MultiBank Group

<div>Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
We are seeking a Senior AI Architect to design, build, and scale the AI and data platform that the organization's AI products will run on. This is a hands-on, founding technical position. The Senior AI Architect will produce architecture designs, write production code, build data pipelines, and set the engineering standards the broader AI team will follow. The role requires rare technical breadth: deep data engineering foundations, strong software engineering discipline, AI and ML systems experience, cloud infrastructure fluency, and the architectural vision to make it all coherent at enterprise scale.
Key Responsibilities<ul><li>
Design and build the end-to-end AI platform architecture, covering data ingestion, feature engineering, model training, serving, monitoring, and retraining as a coherent, maintainable production system</li><li>
Design the data lakehouse architecture on AWS using Delta Lake or Apache Iceberg with Databricks as the primary compute layer, and build batch and streaming data pipelines using PySpark, AWS Glue, and Kafka</li><li>
Architect and implement a feature store with online and offline stores, point-in-time joins, and feature versioning</li><li>
Own cloud infrastructure architecture for all AI and data workloads on AWS, including multi-account strategy, EKS cluster design, GPU compute, storage, and cost governance</li><li>
Build and own the MLOps platform covering experiment tracking, training pipeline automation, model packaging and deployment standards, CI/CD for ML, and model monitoring with drift detection</li><li>
Design the AI services layer, including reusable inference APIs, model serving infrastructure, and API gateway configuration with authentication, rate limiting, and cost attribution</li><li>
Integrate AI capabilities into the organization's products and business systems using event-driven and API-based patterns</li><li>
Embed security and compliance into every layer of the AI platform, including network security, IAM, PII handling, secrets management, and audit logging</li><li>
Act as the senior technical authority for the AI Initiative, setting engineering standards, mentoring engineers, and leading technical decisions</li><li>
Produce and maintain architecture documentation including C4 diagrams, Architecture Decision Records, and system integration maps</li></ul>
Requirements<ul><li>
15 or more years of experience spanning data engineering, software engineering, and AI/ML systems, with at least 3 to 5 years in a senior architecture role</li><li>
Demonstrable record of building and shipping production AI systems end-to-end, not solely designing them</li><li>
Deep hands-on data engineering background including production data pipelines, data lakehouses, and feature stores</li><li>
Expert-level AWS skills across multi-service architecture design and build; GCP or Azure familiarity is beneficial</li><li>
Strong software engineering discipline with production-quality Python and SQL, and solid understanding of distributed systems and API design</li><li>
Deep understanding of the AI and ML model lifecycle and the infrastructure required to support it at production scale</li><li>
Experience in high-growth product companies, scale-ups, or enterprise AI teams where significant technical decisions were owned</li><li>
Security-conscious approach as a default, with experience embedding data privacy and compliance requirements into architecture</li><li>
Strong written and verbal communication, including the ability to produce clear architecture documentation and present to senior leadership</li><li>
Experience leading or significantly contributing to technical team building, including mentoring and setting engineering standards</li><li>
Fintech experience is preferred</li></ul>
Technical Skills<ul><li>
Data Engineering and Platform: Python (primary), SQL, Scala, Bash; Apache Spark (PySpark), AWS Glue, dbt, Pandas, Polars; Apache Kafka (AWS MSK), AWS Kinesis, AWS EventBridge, Flink; Delta Lake, Apache Iceberg, AWS S3, Databricks (Unity Catalog); AWS Redshift, Databricks SQL, Snowflake; Feast, AWS SageMaker Feature Store, Tecton; Great Expectations, dbt tests, Soda Core; OpenMetadata, Apache Atlas; Metabase, Redash; Apache Airflow (Astronomer), Dagster, Prefect</li><li>
AI and ML Systems: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM; AWS SageMaker Training, Kubeflow, Ray Train; BentoML, Seldon Core, Ray Serve, FastAPI, KServe; MLflow, Weights and Biases, ClearML; Evidently AI, Arize AI, WhyLabs; GitHub Actions, DVC, Great Expectations; Hugging Face (Transformers, Datasets, Evaluate, PEFT)</li><li>
Cloud and Infrastructure (AWS Primary): EKS (Karpenter), EC2 (G5, P4d GPU instances), SageMaker, Lambda, Fargate; S3, FSx for Lustre, ElastiCache (Redis), DynamoDB, RDS (PostgreSQL); SageMaker Pipelines, Feature Store, Model Registry, Bedrock, Comprehend, Textract; VPC, Transit Gateway, PrivateLink, Route 53, CloudFront, WAF; IAM (IRSA), Secrets Manager, KMS, Macie, GuardDuty, Security Hub, CloudTrail; Terraform, Terragrunt, CloudFormation, Pulumi; ArgoCD, Flux, Atlantis; Azure ML, Azure Databricks, Azure OpenAI Service (secondary)</li><li>
API, Integration and Solution Architecture: FastAPI, gRPC, REST (OpenAPI 3.1), GraphQL; Kong, AWS API Gateway, Istio (service mesh, mTLS); Docker, Kubernetes (Helm, Kustomize); C4 Model (Structurizr), ADRs, draw.io, Lucidchart; AWS Cost Explorer, Grafana cost dashboards, per-product token attribution</li><li>
Third-Party Data Integrations: Segment, Amplitude, Adjust, Firebase, MoEngage, JourneyFi, Funnel, Debezium, AWS DMS, Fivetran</li><li>
Security and Compliance: OAuth 2.0, JWT, AWS Cognito, mTLS, AWS SSO; AWS Secrets Manager (auto-rotation), HashiCorp Vault; Microsoft Presidio (PII detection), AWS Macie, field-level KMS encryption; NIST AI RMF, GDPR, ISO 27001, SOC 2; Model cards, Fairlearn (bias evaluation), SHAP (explainability), audit logging</li></ul>
Why Join Us?<ul><li>
Work with one of the world&rsquo;s leading financial derivatives institutions.</li><li>
Competitive salary plus performance-based incentives.</li><li>
Access to a dynamic, international, and fast-growing environment.</li><li>
Strong opportunities for career progression within a global financial group.</li><li>
Be part of a business committed to innovation, excellence, and long-term growth.</li></ul>
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
MultiBank Group is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.</div>

Senior AI Architect

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

Recutify Inc.

<div>Title : AI ML Tech Lead / AI Architect
Location Wilmington, DE 
Open FTCVisa Any 
Day 1 onsite 5 Days 
<div> 
Key Responsibilities</div>
Architecture Ownership
<ul><li>Own the end to end architecture for the AI agent, DSL, and SFMC automation ecosystem.</li>
<li>Design agentic AI systems, backend microservices, APIs, and SFMC integrations (REST/SOAP).</li>
<li>Define DSL schemas (JSON/YAML) for AI generated workflows, ensuring extensibility, safety, and deterministic execution.</li>
<li>Establish guardrails, validation, simulation, and compliance frameworks for AI generated journeys and campaigns.</li>
<li>Create and maintain system blueprints, including data flow diagrams, integration contracts, and deployment architecture.</li>
</ul>Technical Leadership
<ul><li>Act as the hands on technical lead, guiding AI/ML engineers, DSL engineers, backend developers, and SFMC specialists.</li>
<li>Lead POCs, prototypes, and architectural spikes to validate design decisions and technology choices.</li>
<li>Drive coding standards, design patterns, and best practices across engineering teams.</li>
<li>Conduct architectural reviews, code reviews, and design walkthroughs.</li>
<li>Unblock teams, make technical decisions, and ensure alignment with architectural vision.</li>
</ul>AI/ML &amp; Agentic Systems
<ul><li>Partner with AI/ML teams on:
<ul><li>Agent frameworks (Agent SDK, LangChain, LangGraph, CrewAI, Semantic Kernel)</li>
<li>RAG pipelines, embeddings, and vectorization</li>
<li>LLM fine tuning, evaluation, and safety mechanisms</li>
</ul></li><li>Define prompting strategies, context engineering, and model interaction patterns.</li>
</ul>Backend, Cloud &amp; Integration Architecture
<ul><li>Architect cloud native, highly available systems on AWS using IaC (Terraform).</li>
<li>Oversee backend microservices, orchestration layers, and execution pipelines.</li>
<li>Ensure robust integration with SFMC components:
<ul><li>Journey Builder</li>
<li>Email Studio</li>
<li>Data Extensions</li>
<li>Personalization logic</li>
<li>REST/SOAP APIs</li>
</ul></li><li>Ensure observability, monitoring, logging, and reliability across all services.</li>
</ul>Security, Governance &amp; Compliance
<ul><li>Ensure compliance with security, privacy, and governance requirements for AI generated marketing workflows.</li>
<li>Define architectural controls for safe execution, auditability, and data protection.</li>
<li>Lead performance optimization, scalability planning, and risk mitigation.</li>
</ul>Cross Functional Collaboration
<ul><li>Work closely with business, product, CRM, and marketing operations teams to translate requirements into scalable technical solutions.</li>
<li>Communicate architectural decisions clearly to both technical and non technical stakeholders.</li>
</ul>Required Skills &amp; Experience
<ul><li>10+ years of software engineering experience with at least 3+ years in a Tech Lead or Architect role.</li>
<li>Strong background in AI/ML systems, including:
<ul><li>LLMs</li>
<li>Agentic architectures</li>
<li>Prompt engineering</li>
<li>RAG pipelines</li>
</ul></li><li>Experience designing complex distributed systems and workflow automation platforms.</li>
<li>Deep understanding of DSL design, interpreters, ASTs, and compiler concepts.</li>
<li>Strong proficiency in Python, TypeScript, or Java.</li>
<li>Experience with cloud native architectures (AWS/Azure/GCP), containers, and microservices.</li>
<li>Proven ability to lead engineering teams, conduct design reviews, and drive technical decisions.</li>
<li>Excellent communication and stakeholder management skills.</li>
</ul>Preferred Qualifications
<ul><li>Experience building AI driven workflow automation or autonomous agent systems.</li>
<li>Familiarity with AMPscript and SSJS.</li>
<li>Background in marketing automation, CRM systems, or customer lifecycle design.</li>
<li>Experience with security, compliance, and governance for AI systems.</li>
<li>Prior experience in fixed bid or outcome based delivery environments.</li>
<li>Experience with event driven architectures and messaging systems.</li></ul></div>

AI ML Tech Lead / AI Architect

VAM SYSTEMS

<div>Job Description 
We are currently looking AI Solution Architect our Qatar operations.
Skills:
Build AI use cases, connect models to business workflows, design AI architecture
Joining time frame: 2 weeks (maximum 1 month)</div>

AI Solution Architect - Banking

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>
#LI-MC1</div>
If a Genesys employee referred you, please use the link they sent you to apply.
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>

AI Solution Architect EMEA

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

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

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