AI Solutions Architect Job at axcess.io (Bengaluru)

Ai solutions architect

ESI’s AI Solutions Architect will help lead the discovery, design, and early imp...

Location

United States , Meridian

Salary:

Not provided

Engineered Structures, Inc. (ESI)

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Math, Technology, or similar required
1–2+ years working in or alongside AI/ML implementations required
Experience in a company that has deployed AI solutions in real-world workflows is highly valued
Demonstrated ability to deliver usable AI-driven products, tools, or workflows
Experience managing Standard Operating Procedures and a Central Learning Management system
Experience setting up/maintaining a CI/CD pipeline and software testing suites
Experience working with structured and unstructured data
Strong communication and stakeholder engagement skills
Ability to explain technical concepts to non-technical audiences
Experience working with at least one major LLM (e.g., Claude, Gemini, ChatGPT)

Job Responsibility

Partner with internal stakeholders to identify high-impact AI opportunities
Translate business challenges into AI-driven solutions using LLMs and related tools
Design solution architectures and workflows for AI use cases
Communicate complex technical concepts in clear, non-technical language
Prototype or guide early-stage AI implementations (proofs of concept)
Evaluate tools, platforms, and vendors in the AI ecosystem
Assist in defining technical requirements and interviewing future engineering hires
Act as a bridge between business teams and technical development

What we offer

ESI covers 100% of the medical premium for all employees and families
Competitive 401k match
Lucrative bonus potential
Great upward mobility for career growth

Fulltime

AI Solutions Architect

Senior technical AI Architect responsible for designing, building, and deploying...

Location

United States , Washington, D.C.

Salary:

120000.00 - 170000.00 USD / Year

Piper Companies

Expiration Date

Until further notice

Requirements

Active Top-Secret or DHS Public Trust clearance
8+ years delivering AI solutions for federal agencies
Bachelor’s degree in Computer Science, Engineering, or Data Science
Deep expertise in ML, deep learning, NLP, and neural networks
Experience with AWS, Azure, GCP, Kubernetes, Docker
Ability to identify high‑value AI use cases and define technical requirements
Hands-on experience with Generative AI, AI agents, LLMs, reinforcement learning, and computer vision
Proficiency across cloud and engineering tools: AWS, GCP, Kubernetes, Docker, Terraform, Helm, Linux, SageMaker, Vertex AI, Bedrock, Gemini
Strong Python, agent frameworks, data engineering, APIs/microservices, vector databases, SQL engines, distributed systems, and RAG
Experience developing AI/ML roadmaps, conducting AoAs, and making technical tradeoff decisions

Job Responsibility

Define system architecture and govern AI/ML and platform technologies to ensure scalability, security, and production readiness
Lead technical design, development, and implementation of an agent-based AI system for enterprise data orchestration
Work with development, DevOps, and data engineering teams to translate requirements into scalable AI architectures
Develop AI strategies aligned with mission and business objectives
Lead proofs of concept to evaluate emerging technologies
Assess and select AI tools, frameworks, and cloud platforms (AWS, Azure, Google)

What we offer

PTO
Paid Holidays
Medical
Dental
Vision
401(k)
Sick Leave (As required by law)

Fulltime

AI Solutions Architect

AirOps is the first end-to-end content engineering platform built for the AI era...

Location

United States , New York City; San Francisco

Salary:

Not provided

AirOps

Expiration Date

Until further notice

Requirements

2 to 6 years experience in Growth, BizOps, Product, Technical Account Mgmt, Analytics, Solution Engineering, or similar role at a high-growth startup
Comfortable moving fast in a startup where roles and responsibilities are fluid
Track record of running complex, multi-threaded projects in a hybrid environment
Experience with LLMs and AI techniques, including prompt engineering and retrieval
Experience automating processes with workflow automation tools like Zapier
Strong analytical skills with experience using data to inform decision making
Excellent project management skills, including proficiency in project management tools like Linear, Airtable, and Asana
Strong interest in the intersection between AI and growth, and the emergent capabilities and applications of LLMs
Familiarity with Python and JavaScript preferred
Superb written and verbal communication skills

Job Responsibility

Build AI growth workflows using AirOps that we can use both internally and to productize for customers in different verticals
Evolve our services delivery playbook and resourcing, moving between execution and strategy
Use AirOps platform to improve our internal and customer facing processes and prove out new use cases
Partner with our Growth, Marketing, Sales, and Product teams to build new templates and workflows aligned to product launches and customer expansion opportunities
Work cross functionally with engineering, design, CX, growth, and content team members to bring features to market quickly & iterate based on feedback
Monitor key metrics closely
analyze trends/patterns & recommend solutions to improve business outcomes
report findings/recommendations regularly to Exec team
Partner with design team on UX research initiatives aimed at improving customer engagement & conversions throughout the customer journey
Test the product and provide feedback to improve the customer experience and usability

What we offer

Equity in a fast-growing startup
Competitive benefits package tailored to your location
Flexible time off policy
Parental Leave
A fun-loving and (just a bit) nerdy team that loves to move fast

Fulltime

AI Solutions Architect

Solvd is seeking an AI Solutions Architect to design and lead cutting-edge GenAI...

Location

Argentina; Brazil; Colombia; Poland; Ukraine; Georgia

Salary:

Not provided

Solvd Inc.

Expiration Date

Until further notice

Requirements

12+ years of experience in IT
At least 5 years in solution architecture roles focused on software or cloud systems integration and distributed application design within consulting environments
2+ years of hands-on experience architecting GenAI or agentic AI systems using modern LLM ecosystems (e.g. OpenAI, Anthropic, Gemini, Azure AI, AWS Bedrock)
Experience supporting presales solutioning or proposal development for AI engagements
Proven ability to translate business or product requirements into scalable AI solution architectures
Strong understanding of LLM orchestration, retrieval-augmented generation (RAG), vector databases and prompt engineering principles
Understanding of cost modeling for AI workloads (token usage, inference scaling, hosting models)
Proficiency with at least one major cloud platform (AWS, Azure (preferred), or GCP) and its AI/ML service offerings
Demonstrated experience leading technical discussions with both engineering and non-technical stakeholders in presales or early delivery phases
Strong command of software engineering fundamentals, API design, and integration patterns

Job Responsibility

Lead the design of GenAI / Agentic AI-enabled solution architectures and buy vs build decisions that balance innovation, feasibility and scalability
Actively participate in presales partnering with sales representatives, deal architects, product analysts and technology SMEs to define technical scope, implementation roadmap and effort estimates
Translate high-level business use cases into detailed AI system designs covering model strategy, data access, orchestration and integration patterns
Evaluate and select appropriate AI frameworks, platforms and tools (e.g., LLMs, vector databases, orchestration frameworks, cloud AI services)
Create architectural artifacts, proof-of-concepts, and technical documentation to support proposals and client discussions
Present and defend architectural decisions to both business and technical stakeholders during presales and early project stages
Ensure proposed solutions adhere to security, compliance, and Responsible AI principles
Stay ahead of industry trends, evaluate new tools and adoption frameworks

What we offer

Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation
Be part of a global team with equal opportunities for collaboration across continents and cultures
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards

Fulltime

AI Solutions Architect

We are seeking an experienced AI Solutions Architect to join our data team and d...

Location

United States , San Diego

Salary:

160000.00 - 180000.00 USD / Year

Clearway Energy

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
5+ years of experience in AI/ML solution architecture and implementation
Proven track record of taking AI projects from proof-of-concept to production
Strong experience with Snowflake Cortex AI or similar systems for enterprise AI workflows
Hands-on experience with AI agentic frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen) for building autonomous AI workflows
Proficiency in integrating LLM APIs and SDKs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) into production applications
Experience designing and implementing RAG systems, including vector databases (Pinecone, Weaviate, Chroma, pgvector, or similar), embedding models, and retrieval optimization
Experience building interactive applications with Gradio and Streamlit
Advanced GitHub/GitLab workflows including CI/CD, branching strategies, and code review processes
Expertise in Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)

Job Responsibility

Design and architect end-to-end AI solutions using Snowflake Cortex AI, Modal, and cloud-native technologies
Develop rapid proof-of-concepts for Retrieval augmented generation (RAG) applications, operational optimization, process optimization, energy forecasting, predictive maintenance, and computer vision (drone footage) use cases
Design and implement AI agentic workflows using frameworks such as LangChain, LangGraph, CrewAI, or similar orchestration tools
Create interactive demos and prototypes using Gradio and Streamlit for stakeholder validation
Translate business requirements into technical specifications and system architectures
Build and deploy scalable AI/ML models for business process optimization, renewable energy applications, including wind/solar forecasting, and asset performance optimization
Integrate AI capabilities via APIs and SDKs from providers including OpenAI, Anthropic, Azure OpenAI, and Hugging Face
Implement MLOps pipelines using Dagster, Snowflake, Sentry, and Modal for model training, deployment, and monitoring
Design and optimize RAG architectures, including vector database implementation, embedding strategies, and retrieval pipelines
Ensure robust version control and collaboration practices using GitLab

What we offer

generous PTO
medical, dental & vision care
HSAs with company contributions
health FSAs
dependent daycare FSAs
commuter benefits
relocation
401(k) plan with employer match
a variety of life & accident insurances
fertility programs

Fulltime

AI Solutions Architect

We are seeking an experienced AI Solutions Architect to join our data team and d...

Location

United States , Scottsdale

Salary:

160000.00 - 180000.00 USD / Year

Clearway Energy

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
5+ years of experience in AI/ML solution architecture and implementation
Proven track record of taking AI projects from proof-of-concept to production
Strong experience with Snowflake Cortex AI or similar systems for enterprise AI workflows
Hands-on experience with AI agentic frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen) for building autonomous AI workflows
Proficiency in integrating LLM APIs and SDKs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) into production applications
Experience designing and implementing RAG systems, including vector databases (Pinecone, Weaviate, Chroma, pgvector, or similar), embedding models, and retrieval optimization
Experience building interactive applications with Gradio and Streamlit
Advanced GitHub/GitLab workflows including CI/CD, branching strategies, and code review processes
Expertise in Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)

Job Responsibility

Design and architect end-to-end AI solutions using Snowflake Cortex AI, Modal, and cloud-native technologies
Develop rapid proof-of-concepts for Retrieval augmented generation (RAG) applications, operational optimization, process optimization, energy forecasting, predictive maintenance, and computer vision (drone footage) use cases
Design and implement AI agentic workflows using frameworks such as LangChain, LangGraph, CrewAI, or similar orchestration tools
Create interactive demos and prototypes using Gradio and Streamlit for stakeholder validation
Translate business requirements into technical specifications and system architectures
Build and deploy scalable AI/ML models for business process optimization, renewable energy applications, including wind/solar forecasting, and asset performance optimization
Integrate AI capabilities via APIs and SDKs from providers including OpenAI, Anthropic, Azure OpenAI, and Hugging Face
Implement MLOps pipelines using Dagster, Snowflake, Sentry, and Modal for model training, deployment, and monitoring
Design and optimize RAG architectures, including vector database implementation, embedding strategies, and retrieval pipelines
Ensure robust version control and collaboration practices using GitLab

What we offer

generous PTO
medical, dental & vision care
HSAs with company contributions
health FSAs
dependent daycare FSAs
commuter benefits
relocation
401(k) plan with employer match
a variety of life & accident insurances
fertility programs

Fulltime

AI Solutions Architect

Strategic AI Architecture & Innovation; Project Leadership & Execution; Technica...

Location

Qatar , Doha

Salary:

Not provided

Beyond Limits

Expiration Date

Until further notice

Requirements

Bachelor’s in computer science, Software Engineering, or related
10+ years managing software engineering, AI, or data analytics projects in Oil & Gas or similar heavy industries
Demonstrated success in managing and aligning diverse stakeholders
Communication: Articulate technical concepts—architecture diagrams, code quality metrics—to both technical and non technical audiences
Analytical: Extract insights from performance metrics, error rates, and project KPIs to drive continuous improvement
Problem Solving: Quickly diagnose system failures, code regressions, and data pipeline issues, and lead resolution
Deep expertise in Agile methodologies (Scrum, Kanban) and a solid grasp of Waterfall practices
Hands-on experience with tools such as Jira, Confluence, CI/CD pipelines (e.g., Jenkins, GitLab CI), and cloud platforms (OCI, GCP)
Solid understanding of the architectural and operational differences between cloud-native and on-premises software environments
Fluent in both Arabic and English

Job Responsibility

Design & Integration: Lead the design of scalable AI architectures that seamlessly integrate with existing enterprise systems, directly addressing complex industrial challenges
Customization & Prototyping: Develop tailored AI models and proof-of-concept prototypes that demonstrate clear business value and operational impact
Feasibility Analysis: Conduct technical feasibility assessments to validate solution designs and ensure alignment with strategic business requirements
End-to-End Management: Oversee the full lifecycle of AI projects—from initial scoping and conceptualization to deployment and post-implementation support—ensuring timely delivery and budget adherence
Stakeholder Collaboration: Engage closely with client representatives, internal R&D teams, and technical staff to maintain clear communication and alignment on objectives, deliverables, and timelines
Risk & Quality Assurance: Implement effective risk management strategies while maintaining rigorous quality standards throughout project execution
Pre-Sales Expertise: Serve as the technical authority during pre-sales activities, articulating the capabilities of Beyond Limits’ platforms, frameworks, and products to prospective clients
Partner Selection & Training: Identify and select the right delivery partners, then train and support them on our technologies to ensure they meet our high technical standards
Collaborative Oversight: Work in close partnership with delivery leads and external developers to manage project development, ensuring seamless integration and successful client outcomes
Strategic Advisory: Provide high-level consulting on AI strategies and digital transformation roadmaps that empower clients to gain competitive advantages

AI Solutions Architect

We are looking for a highly skilled AI Architect with deep expertise in Generati...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

Minimum 10 years of experience in ML/AI solution architecture
Deep expertise in Generative AI: LLMs, Vision/Video models, Digital Avatars, RAG systems, and multimodal architectures
Strong experience in ML engineering, data pipelines, and scalable model APIs
Hands-on experience with Nvidia GPU systems, CUDA stack, TensorRT, vLLM/Ollama, and model optimization
Experience building AI on edge devices (Intel, AMD, Qualcomm NPUs, AI PCs)
Proficiency in AWS and Azure cloud ecosystems, including GPU-based deployments
Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), model serving frameworks, and MLOps tools
Proven track record of architecting POC, MVP, and production-grade AI products
Strong architectural documentation and diagramming skills (Mermaid, Draw.io, Lucidchart, ArchiMate)
Excellent communication skills for client presentations and internal leadership discussions

Job Responsibility

Design and architect LLM-based systems using both open-source (Llama, Mistral, etc.) and proprietary (OpenAI, Azure OpenAI, Anthropic, etc.) models
Architect video-based AI systems, including Digital Human Avatars, Video Generation, Video-to-Text, and multimodal pipelines
Build end-to-end GenAI pipelines including data ingestion, preprocessing, retrieval, fine-tuning (LoRA, QLoRA, DAPT), evaluation, guardrailing, and deployment
Define and orchestrate data pipelines, ML workflows, vector search architecture, and embedding strategies
Build scalable, secure ML engineering wrappers around models (inference servers, orchestration layers, API microservices)
Oversee experimentation frameworks, evaluation methodologies, and MLOps integration
Architect AI solutions on AWS and Azure (preferred), including GPU clusters, model hosting, DevOps/MLOps, and autoscaling
Work with Nvidia GPU server stacks (DGX, H200, H100, L40S) and edge AI systems (Intel, AMD, Qualcomm AI PCs)
Optimize AI workloads across heterogeneous compute environments
Lead AI architecture across POC → MVP → GA → production-scale phases

What we offer

Competitive base + commission
Fast growth into leadership roles

Fulltime

Select Country

AI Solutions Architect

Job Description

Job Responsibility

Requirements

Looking for more opportunities?

AI Solutions Architect

Ai solutions architect

AI Solutions Architect

AI Solutions Architect

AI Solutions Architect

AI Solutions Architect

AI Solutions Architect

AI Solutions Architect

AI Solutions Architect

Our AI answers in your language