Sr. AI Architect Job at Experion Technologies (Kochi)

Ai Architect Sr. Advisor

We are seeking a highly experienced AI Architect with 20+ years of experience to...

Location

India , Pune

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

20+ years of experience
deep expertise across data platforms, machine learning, cloud architecture, and enterprise solutioning

Job Responsibility

Define and drive enterprise AI / ML / GenAI architecture strategy across business domains
Design scalable, secure, and production-ready AI/ML solutions leveraging AWS and Snowflake
Lead adoption of emerging AI technologies, frameworks, and tools across the organization

Fulltime

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...

Location

India , Bengaluru

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
Proven track record of deploying LLM-based applications at scale
Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
Proven ability to use Python or Node.js for scripting and building middleware or connectors
Experience with fine-tuning of models for specific deployment constraints
Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive

Job Responsibility

Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development

What we offer

Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...

Location

Canada , Kitchener

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
Proven track record of deploying LLM-based applications at scale
Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
Proven ability to use Python or Node.js for scripting and building middleware or connectors
Experience with fine-tuning of models for specific deployment constraints
Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive

Job Responsibility

Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development

What we offer

Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...

Location

United States , Denver

Salary:

119200.00 - 151000.00 USD / Year

Dialpad

Expiration Date

Until further notice

Requirements

5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
Proven track record of deploying LLM-based applications at scale
Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
Proven ability to use Python or Node.js for scripting and building middleware or connectors
Experience with fine-tuning of models for specific deployment constraints
Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive

Job Responsibility

Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development

What we offer

Competitive benefits and perks
Robust training program
Inclusive office environment
Recognized Great Place to Work culture

Fulltime

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...

Location

United States , Austin

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
Proven track record of deploying LLM-based applications at scale
Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
Proven ability to use Python or Node.js for scripting and building middleware or connectors
Experience with fine-tuning of models for specific deployment constraints
Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive

Job Responsibility

Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development

What we offer

Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success

Sr. AI Solutions Architect

As a Sr. AI Solutions Architect you are the bridge between a sophisticated AI pr...

Location

United States , Tempe

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

5+ years of experience in a high-impact, customer-facing technical role such as Solutions Architect, Forward Deployed Engineering, Technical Consulting, MLOps, or Backend Engineering for SaaS/AI products
Familiarity with LLMs and Generative AI, specifically how to apply them to real-world tasks
Knowledge about using vector databases and orchestration frameworks (like LangChain or LlamaIndex) to build functional applications
Proven experience in advanced prompt engineering techniques (Chain-of-Thought, Few-Shot, ReAct) and LLM orchestration
Proven track record of deploying LLM-based applications at scale
Strong proficiency in working with APIs (REST, GraphQL) and specifically building/configuring MCP (Model Context Protocol) servers
Hands-on experience integrating with enterprise platforms like Zendesk, Salesforce, or ServiceNow
Proven ability to use Python or Node.js for scripting and building middleware or connectors
Experience with fine-tuning of models for specific deployment constraints
Unrivaled business acumen and the ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive

Job Responsibility

Solutions Design: Ability to understand customer requirements quickly and accurately. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions
Requirements Translation: Conduct deep-dive discovery sessions with customers to translate business objectives and SOPs into structured technical instructions for AI Agents
Prompt Engineering & Training: Design, test, and iterate on complex prompt architectures to ensure AI agents deliver high-accuracy outputs aligned with client brand voice and logic
AI Consulting: Confidence to consult, not just replicate. Desire to build transformational solutions for customers that revamp the way they do business
Stakeholder Management: Act as the technical face of the company during deployments, managing expectations and providing expert guidance in a fast-paced environment
Production Integration: Lead the end-to-end deployment of Agentic AI workflows into customer environments. Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Guardrails & Safety: Develop and deploy systems and automated evaluation layers to monitor for hallucinations, bias, and security breaches
Performance Optimization: Optimize your agents as part of the hypercare process with your customer post-integration. Provide baselines for KPIs like task containment rate, task success rate, and hallucinations
Monitoring & Observability: Set up advanced tracking systems to provide customers with "Explainable AI" dashboards
Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development

What we offer

Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success

Sr. Systems Architect, Physical AI

This role designs and builds the platform architecture for T-Mobile's Physical &...

Location

United States , Bellevue

Salary:

102000.00 - 184000.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Acceptable areas of study include Technology or related technical field
4-7 years experience architecting enterprise-scale systems and platforms (e.g., distributed computing, data platforms, or multi-tenant services)
Business Architecture
Data Modeling
Prototyping
Solution Architecture
Stakeholder Management
Strategic Planning
Systems Architecture

Job Responsibility

Own and develop the platform architecture for Physical & Edge AI (developer onboarding/SDKs, app marketplace, workflow orchestration, and billing/metering) as a coherent, productized developer surface
Define and enforce architectural guardrails and standards for API design, identity/auth, multi-tenant isolation, observability, and extensibility to ensure compliance and reliable delivery
Create and present high-level solution designs and technical documentation (RFCs, design docs, decision records) to guide development and leadership decisions
Collaborate with business and technical teams to translate requirements into optimized technology solutions
partner with Product on the platform roadmap
Lead deep technical reviews of platform features and partner integrations
act as a senior architectural authority for platform-tier decisions
Mentor and coach architects and senior engineers and influence the broader architecture community on Edge AI platform patterns
Also responsible for other duties/projects as assigned by business management as needed

What we offer

Competitive base salary
Annual stock grant
Employee stock purchase plan
401(k)
Free, year-round money coaches
Medical insurance
Dental insurance
Vision insurance
Flexible spending account
Paid time off

Fulltime

Sr. Solutions Architect, Physical AI

This role develops and owns end-to-end solution design strategies for T-Mobile's...

Location

United States , Bellevue

Salary:

103600.00 - 186900.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
4-7 years related work experience
4-7 years dynamic experience in software engineering/enterprise architecture/technology leadership across multiple products, systems and/or platforms, coupled with strong business acuity and executive presence
4-7 years experience working in solutions design and enterprise architecture delivering technology solutions
4-7 years experience in enterprise applications, middle-tier services, database, storage, distributed computing, virtualization, and/or application technology
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Lead the development and ownership of end-to-end solution designs and reference architectures for Physical & Edge AI deployments, spanning connectivity (5G/MEC), the edge/cloud compute split, perception/inference, and safety/observability
Create and maintain architectural artifacts including diagrams, data models, and technical documentation to support solution implementation across customer, partner, and internal teams
Collaborate with senior management and technical teams to translate business requirements and physical-world use cases into technical solutions and align designs with platform and enterprise standards
Lead technical engagements with customers, robotics/sensor OEMs, and ISV partners from proof of concept through production, including design review and production-readiness (QA) gates
Implement design standards and processes to ensure quality, consistency, and compliance with organizational architecture guidelines
Identify architectural gaps and define remediation strategies to improve solution efficiency and alignment with strategic goals
Also responsible for other duties/projects as assigned by business management as needed

What we offer

Medical, dental and vision insurance
Flexible spending account
401(k)
Employee stock grants
Employee stock purchase plan
Paid time off and up to 12 paid holidays
Paid parental and family leave
Family building benefits
Back-up care
Enhanced family support

Fulltime

Select Country

Sr. AI Architect

Job Description

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Requirements

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