Altimetrik Visa Sponsorship USA
Altimetrik is a digital engineering and technology services firm with a consistent track record of sponsoring work visas across multiple categories. For international candidates in software, data, and IT roles, it's a meaningful option worth targeting in a sponsorship job search.
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Get Access To All JobsAI Solution Architect – Agentic & Generative AI
Locations: Austin, Tx | Tempe, Az | Charlotte, NC | New York, NY | San Diego, CA
Role Overview
The AI Solution Architect is a senior technical leader responsible for designing, architecting, and operationalizing Agentic AI and Generative AI solutions at enterprise scale. This role is central to shaping and implementing an AI-first Product Delivery Lifecycle (PDLC), ensuring product development processes, engineering practices, and operating models are optimized for AI-native platforms, agentic systems, and rapid value iteration. This individual will operate at the intersection of architecture, AI platform engineering, ML lifecycle management, enterprise integration, governance, and organizational transformation.
Key Responsibilities
AI Architecture & Solution Design
- Architect enterprise-scale Agentic and Generative AI systems, including:
- Multi-agent orchestration frameworks
- Retrieval-Augmented Generation (RAG) pipelines
- Autonomous task execution patterns
- Tool-use integration frameworks
- Establish reference architectures for an AI-first PDLC covering:
- Design
- Development
- Testing & evaluation
- Deployment
- Monitoring & observability
- Risk controls & governance
- Design and implement model lifecycle pipelines including:
- Training & fine-tuning workflows
- Evaluation harnesses
- Model registry & versioning
- Continuous improvement loops
- Embed AI capabilities into client-facing platforms, internal tooling, and operational workflows.
AI-First PDLC Transformation
- Define architecture, tooling, and standards for an AI-native delivery lifecycle, including:
- Prompt engineering frameworks
- Agent design patterns
- Automated LLM evaluation systems
- Safety guardrails and policy enforcement
- Data quality validation mechanisms
- Integrate AI evaluation and governance gates into CI/CD pipelines.
- Establish best practices to enable cross-functional teams to become AI “builders.”
- Drive adoption of AI-driven development patterns across product, engineering, design, and risk functions.
Enterprise Integration & Data Strategy
- Design integrations between AI systems and core enterprise platforms.
- Partner with Data Engineering teams to define:
- Data ingestion architectures
- Embedding & vectorization strategies
- Feature stores
- Real-time inference pipelines
- Ensure architectural alignment with:
- Cloud strategy
- Enterprise data governance
- Security & compliance standards
Security, Compliance & Responsible AI
- Architect AI systems in compliance with regulatory and governance requirements.
- Embed identity, authorization, auditing, and model-level security patterns.
- Implement Responsible AI practices, including:
- Transparency
- Bias monitoring
- Fairness evaluation
- Performance & drift monitoring
- Auditability
Cross-Functional Leadership
- Partner with senior leaders across Product, Enterprise Architecture, DevSecOps, Infrastructure, and Operations.
- Lead architectural reviews and design whiteboarding sessions.
- Mentor engineering teams and contribute to AI architecture standards.
- Support hiring and talent development for emerging AI roles.
Required Qualifications
- 2+ years architecting Generative AI, Agentic AI, or ML systems at enterprise scale.
- 6+ years experience in cloud-native architecture (AWS preferred), including:
- Microservices
- Kubernetes
- Event-driven systems
- 5+ years hands-on experience with:
- LLMs
- Vector databases
- Embeddings
- Evaluation frameworks
- Guardrails
- Fine-tuning
- Orchestration frameworks
- 8+ years experience in Python.
- Proficiency in C#, Java, or TypeScript is a plus.
- 6+ years experience in ML Ops, including:
- CI/CD for ML
- Model versioning
- Monitoring
- Automated evaluation
Preferred Qualifications
- Bachelor’s degree in Computer Science, Engineering, AI/ML, or equivalent experience.
- Relevant certifications such as:
- AWS Solutions Architect – Professional
- AWS Machine Learning Specialty
- Terraform Associate
- Experience in regulated industries.
- Experience designing AI systems under compliance constraints.
Core Competencies
- Strategic Architecture & Systems Thinking
- AI Fluency & Model Lifecycle Expertise
- Experimentation & Data-Driven Decision-Making
- Cross-Functional Collaboration
- Innovation & Continuous Learning
AI Solution Architect – Agentic & Generative AI
Locations: Austin, Tx | Tempe, Az | Charlotte, NC | New York, NY | San Diego, CA
Role Overview
The AI Solution Architect is a senior technical leader responsible for designing, architecting, and operationalizing Agentic AI and Generative AI solutions at enterprise scale. This role is central to shaping and implementing an AI-first Product Delivery Lifecycle (PDLC), ensuring product development processes, engineering practices, and operating models are optimized for AI-native platforms, agentic systems, and rapid value iteration. This individual will operate at the intersection of architecture, AI platform engineering, ML lifecycle management, enterprise integration, governance, and organizational transformation.
Key Responsibilities
AI Architecture & Solution Design
- Architect enterprise-scale Agentic and Generative AI systems, including:
- Multi-agent orchestration frameworks
- Retrieval-Augmented Generation (RAG) pipelines
- Autonomous task execution patterns
- Tool-use integration frameworks
- Establish reference architectures for an AI-first PDLC covering:
- Design
- Development
- Testing & evaluation
- Deployment
- Monitoring & observability
- Risk controls & governance
- Design and implement model lifecycle pipelines including:
- Training & fine-tuning workflows
- Evaluation harnesses
- Model registry & versioning
- Continuous improvement loops
- Embed AI capabilities into client-facing platforms, internal tooling, and operational workflows.
AI-First PDLC Transformation
- Define architecture, tooling, and standards for an AI-native delivery lifecycle, including:
- Prompt engineering frameworks
- Agent design patterns
- Automated LLM evaluation systems
- Safety guardrails and policy enforcement
- Data quality validation mechanisms
- Integrate AI evaluation and governance gates into CI/CD pipelines.
- Establish best practices to enable cross-functional teams to become AI “builders.”
- Drive adoption of AI-driven development patterns across product, engineering, design, and risk functions.
Enterprise Integration & Data Strategy
- Design integrations between AI systems and core enterprise platforms.
- Partner with Data Engineering teams to define:
- Data ingestion architectures
- Embedding & vectorization strategies
- Feature stores
- Real-time inference pipelines
- Ensure architectural alignment with:
- Cloud strategy
- Enterprise data governance
- Security & compliance standards
Security, Compliance & Responsible AI
- Architect AI systems in compliance with regulatory and governance requirements.
- Embed identity, authorization, auditing, and model-level security patterns.
- Implement Responsible AI practices, including:
- Transparency
- Bias monitoring
- Fairness evaluation
- Performance & drift monitoring
- Auditability
Cross-Functional Leadership
- Partner with senior leaders across Product, Enterprise Architecture, DevSecOps, Infrastructure, and Operations.
- Lead architectural reviews and design whiteboarding sessions.
- Mentor engineering teams and contribute to AI architecture standards.
- Support hiring and talent development for emerging AI roles.
Required Qualifications
- 2+ years architecting Generative AI, Agentic AI, or ML systems at enterprise scale.
- 6+ years experience in cloud-native architecture (AWS preferred), including:
- Microservices
- Kubernetes
- Event-driven systems
- 5+ years hands-on experience with:
- LLMs
- Vector databases
- Embeddings
- Evaluation frameworks
- Guardrails
- Fine-tuning
- Orchestration frameworks
- 8+ years experience in Python.
- Proficiency in C#, Java, or TypeScript is a plus.
- 6+ years experience in ML Ops, including:
- CI/CD for ML
- Model versioning
- Monitoring
- Automated evaluation
Preferred Qualifications
- Bachelor’s degree in Computer Science, Engineering, AI/ML, or equivalent experience.
- Relevant certifications such as:
- AWS Solutions Architect – Professional
- AWS Machine Learning Specialty
- Terraform Associate
- Experience in regulated industries.
- Experience designing AI systems under compliance constraints.
Core Competencies
- Strategic Architecture & Systems Thinking
- AI Fluency & Model Lifecycle Expertise
- Experimentation & Data-Driven Decision-Making
- Cross-Functional Collaboration
- Innovation & Continuous Learning
Job Roles at Altimetrik Companies
How to Get Visa Sponsorship in Altimetrik Visa Sponsorship USA
Target engineering and delivery roles first
Altimetrik's core business is digital transformation and technology delivery, so software engineers, data engineers, and solution architects are the roles most likely to come with H-1B sponsorship. Focus your application on those practice areas.
Look for confirmed sponsorship before applying
Not every Altimetrik job posting will explicitly mention visa sponsorship. Search for Altimetrik roles on Migrate Mate, which surfaces verified sponsors and lets you filter by real sponsorship history so you're not guessing from a job description.
Green Card pathways exist for long-term employees
Altimetrik has filed Green Card petitions, primarily under EB-2 and EB-3 categories. If permanent residency is your goal, ask during interviews whether the company supports Green Card sponsorship for your role and how long that process typically takes.
Altimetrik jobs are hiring across the US. Find yours.
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Get Access To All JobsFrequently Asked Questions
Does Altimetrik sponsor H-1B visas?
Yes, Altimetrik sponsors H-1B visas and has done so across multiple years, making it a recognized sponsor in the technology services space. The company primarily sponsors roles in software engineering, data, and IT delivery. Because H-1B visas are subject to an annual lottery, timing your application around the March registration window is essential.
What visa types does Altimetrik sponsor?
Altimetrik sponsors H-1B visas for specialty occupation roles, Green Cards through the EB-2 and EB-3 employment-based categories, F-1 OPT for recent graduates, and TN visas for qualified Canadian and Mexican nationals. This range makes the company a viable option for international candidates at different stages of the immigration process.
Which roles at Altimetrik are most likely to receive visa sponsorship?
Altimetrik's work centers on digital engineering, cloud transformation, and enterprise technology delivery, so roles like software engineers, data engineers, DevOps specialists, and technology consultants are most consistently sponsored. Client-facing and practice-area delivery roles tend to drive the bulk of sponsorship activity, given the company's project-based business model.
How do I find open jobs at Altimetrik that offer visa sponsorship?
Migrate Mate is the most reliable way to find Altimetrik positions with confirmed sponsorship history. It filters roles by verified visa sponsorship data, so you can identify Altimetrik openings where sponsorship is a realistic outcome rather than relying on job descriptions that may not disclose sponsorship status clearly.
How do I approach the application process at Altimetrik as a visa-dependent candidate?
Be transparent about your visa status early in the recruiter conversation. Clarify whether you need OPT-to-H-1B sponsorship, a fresh H-1B cap filing, or TN support, since each path has a different timeline and complexity for the employer. Altimetrik has experience across multiple visa types, so a clear, specific ask will move the conversation forward faster than a vague inquiry.
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