Sr. AI Architect Job at Experion Technologies (Kochi)

Sr Java/Java EE Architect / Lead Java Developer (AI)

The Java EE Developer are expected to contribute to the design, development, and...

Location

United States , Austin

Salary:

Not provided

Dutech Systems

Expiration Date

Until further notice

Requirements

Deep hands-on experience in Java and Java EE development, including EJB, JPA, and SOAP-based services. Able to analyze legacy codebases and identify transformation paths for cloud migration
Proficiency in Java SE 1.8 and Java EE 8, including deployment on enterprise-grade application servers
Experience with object-relational mapping and integrating persistence layers with business logic
Ability to work with cross-functional teams including architects, business analysts, and security engineers to align development with business goals
Proven experience with, or strong understanding of, AI code analysis tools for static analysis, code understanding, and pattern recognition
Familiarity with DevSecOps practices, including automated testing, deployment, and monitoring
Exposure to cloud-native transformation strategies, including containerization, elastic scaling, and loosely coupled interfaces
Familiarity with Agile methodologies, sprint planning, and backlog refinement in collaboration with product owners and SMEs
Exceptional analytical and problem-solving skills, with a keen eye for detail
Strong understanding of software design principles and patterns

Job Responsibility

Analyze legacy Java EE components, including EJB, JPA , and SOAP services, to support architectural decision-making
Participate in application rationalization and transformation planning
Support technical walkthroughs and documentation activities to map current application behavior, dependencies, and integration points
Collaborate with architects and business analysts to help ensure modernization efforts retain core business logic and interoperability
Assist in migrating legacy systems to cloud-native platforms, emphasizing microservices and API-driven architectures
Utilize AI code analysis tools for examining legacy Java EE applications
Extract and document detailed business requirements and rules based on existing code
Work with business stakeholders and technical teams to validate and adjust identified requirements
Identify and record technical debt, design patterns, and architectural details within legacy systems

Sr. Technical AI Enablement Engineer

ModelOp is seeking a highly skilled Sr Technical AI Enablement Engineer to join ...

Location

United States , Utah, Chicago

Salary:

Not provided

ModelOp

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field
10+ years of experience in technology-based consulting, technical enablement, or related roles
Experience in custom software delivery and complex system troubleshooting
Exceptional presentation skills for all audiences: from senior business executives to data scientists, architects, and governance teams
Proven ability to translate loose AI governance requirements into actionable implementation details across multiple workstreams
Experience with AI tools, platforms, and model development processes, along with a solid understanding of how governance and compliance mechanisms apply at each stage of the AI model lifecycle
Familiarity with AI regulations/guidelines (e.g. EU AI Act, OSFI E-23, NIST AI-RMF), ideally in specific verticals (e.g. SEC/OCC, FDA)
Strong experience in working with technical teams to embed governance processes into an existing model lifecycle

Job Responsibility

Implementation Planning: Lead customers in planning the implementation of ModelOp within the customer’s existing AI program
Technical Troubleshooting: When customer issues are raised, take lead on triaging the issue, and work with the customer technical team to obtain information (logs, etc.), conduct initial troubleshooting, and identify the next course of action
Process Design: Collaborate with customer teams to translate the customer’s AI governance policies and procedures into actionable and automated workflows within ModelOp, whilst simultaneously advising on best practices from other customers and experience
Inventory & Reporting Configuration: lead customers in designing the appropriate customizations for the metadata structure, use case forms, and dashboards within ModelOp to align with their inventory and reporting requirements
Testing & Monitoring Enablement: lead customer sessions in identifying and configuring the right set of tests and monitors for their specific AI use cases / models
Customer Enablement: Work closely with the customer to drive consumption of ModelOp software, by onboarding new AI use cases in the platform
Training & Support: Lead customer workshops, training sessions, and knowledge transfer activities to ensure customer teams understand and can effectively use ModelOp for their daily AI governance work
Documentation: Document processes, configurations, and troubleshooting steps for both technical and non-technical audiences
Learning: Stay updated on the latest developments in AI governance and related technologies to guide customers and inform product enhancements

What we offer

ModelOp offers full benefits, including a retirement package and comprehensive health insurance

Fulltime

Sr. Architect - Proposal Tools, Automation & Vendor Management

The Sr. Architect plays a crucial role in driving business growth by managing pr...

Location

United States , Overland Park, KS; Frisco, TX; Bellevue, WA

Salary:

95600.00 - 172500.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

5+ years in bid management, proposal automation or procurement technology
Advanced proficiency in MSOffice Suite, proposal automation tools and content management systems, and design tools
A bachelor’s degree in marketing, communications, business or a related discipline is preferred, but a combination of education and experience is just as valuable
Strong understanding of RFx processes, and proficiency in bid management software and automation tools (e.g., Loopio, Qvidian, Responsive) and CRM (e.g., Salesforce) platforms
Experience with API integrations and workflow automation using tools like Power Automate
Familiarity with AI-driven proposal writing tools and workflow automation solutions

Job Responsibility

Software Tools & Technology Management
Proposal Automation & Solution Architecture
Vendor & Stakeholder Management

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Paid holidays
Paid parental and family leave

Fulltime

Sr AI/HPC Applications and Performance Engineer

Sr AI/HPC Applications and Performance Engineer role at Hewlett Packard Enterpri...

Location

United States

Salary:

161500.00 - 370500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

15+ years' experience
Deep expertise in AI and HPC applications and performance engineering including simulation, modeling and emulation capabilities
Expertise in large-scale AI and HPC systems
Experience architecting, designing, and developing innovative software system design tools and languages
Excellent analytical and problem-solving skills
Experience in leading overall architecture of software systems for products and solutions
Designing and integrating efficient and scalable software systems running on multiple platform types into overall architecture
Evaluating and selecting forms and processes for software systems testing and methodology
History of innovation with multiple patents or deployed solutions in the field of software design
Excellent written and verbal communication skills

Job Responsibility

Develops organization-wide architectures, strategies, and methodologies for software systems design and development across multiple platforms and organizations
Identifies and makes informed recommendations regarding new technologies, innovations, and outsourced development partner relationships
Reviews, evaluates, and influences designs and project activities for compliance with development guidelines and standards
Provides tangible solutions that improve product quality and mitigate failure risk
Contributes to domain expertise, business acumen, and experience to influence decisions of executive business leadership
Brings creativity and innovation to the organization
Provides guidance and mentoring to less-experienced team members
Acts as an internal authority on software systems design
Contributes to the external technical community through whitepapers, patents, or other significant innovations

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive benefits suite supporting physical, financial and emotional wellbeing

Fulltime

Sr. Staff Software Engineer - Advanced Analytics Platform

At DISQO, we’re redefining how companies turn data into decisions. Our mission i...

Location

United States , Los Angeles, Glendale

Salary:

200000.00 - 240000.00 USD / Year

DISQO

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience
5+ years architecting or building high-performance data systems or analytics platforms
3+ years of product Rust experience
Deep expertise in Rust and strong experience in Java
Proven track record building large-scale data analytics or OLAP systems from the ground up
Deep understanding of columnar data engines, vectorized execution, and query/dataframe optimization
Hands-on experience with performance engineering, profiling, and hardware-aware optimization
Strong expertise with AWS - designing, deploying, and optimizing large-scale data and compute systems in the cloud
A systems-thinking mindset
Thrives in a fast-moving, startup environment

Job Responsibility

Architect and deliver a high-performance Advanced Analytics Engine
Design and build an Agentic AI system that leverages this Advanced Analytics Engine
Partner with product, engineering and data teams to power agentic AI analytics systems
Profile, benchmark, and optimize Rust components
Leverage AWS cloud services to architect scalable, reliable, and cost-efficient analytics infrastructure
Shape the evolution of DISQO’s broader data platform and its integration across our product ecosystem
Mentor and guide engineers
Contribute to open-source or internal frameworks that advance analytical systems and distributed computation

What we offer

100% covered Medical/Dental/Vision for employee
Equity
401K
Generous PTO policy
Flexible workplace policy
Team offsites, social events & happy hours
Life Insurance
Health FSA
Commuter FSA (for hybrid employees)
Catered lunch and fully stocked kitchen

Fulltime

Distinguished Technologist, Presales Engineering

Distinguished Technologist, Presales Engineering. This role has been designated ...

Location

United States , All, New Jersey

Salary:

203500.00 - 492500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

AI/ML Networking Expertise: Proven experience designing networks for AI clusters, with a deep understanding of lossless Ethernet, congestion control algorithms (PFC, ECN), and load-balancing techniques specific to AI traffic patterns
Edge & Distributed Compute Knowledge: Technical proficiency in MEC (Multi-access Edge Computing) and how it intersects with AI inferencing models and 5G/6G transport
Advanced Network Design: 15+ years of experience in Network Infrastructure Design, with at least 3-5 years focused on Hyperscale Datacenter or Cloud-Scale SP architectures
Modern Protocol Fluency: Working knowledge of and hands-on experience with JunOS, EOS, or IOS(certifications preferred), with specialized knowledge in EVPN-VXLAN, Segment Routing (SRv6), and telemetry-driven automation
Systems Thinking: Ability to bridge the gap between hardware (GPU/NIC/Switch) and software (AI Frameworks, Kubernetes, Virtualization) to provide a holistic "AI Fabric" vision
Thought Leadership: Significant experience providing both solution and commercial leadership, specifically in translating the "Cost of AI" into a value-based networking ROI for C-level stakeholders
Executive Presence: Professional with strong business acumen and the ability to build relationships with technical decision makers and C-level executives in client organizations
Sales Mastery: Experience preparing RFP/Tender response documents, including compliance, bill of materials, and solution documents to drive a successful response
Resource Management: Strong resource management skills, including how and when to effectively engage SMEs, specialists, and Engineering resources
Minimum Qualifications: 15+ years relevant industry experience in Cloud/Networking Infrastructure, routing, and switching domains

Job Responsibility

Lead AI Grid Strategy: Serve as the primary architect for "AI Grid" initiatives, helping Service Providers build interconnected, high-performance compute and networking fabrics designed specifically for distributed AI workloads
Architect Edge AI Solutions: Design and implement low-latency networking architectures to support Inferencing at the Edge, ensuring SPs can deliver AI services closer to the end-user with minimal jitter and maximum throughput
Optimize AI Infrastructure: Articulate the value of specialized AI/ML networking, including the orchestration of RDMA over Converged Ethernet (RoCE v2) and InfiniBand-to-Ethernet transitions within the Modern Datacenter
End-to-End AI Design: Responsible for the architecture of end-to-end Networking Infrastructure that supports both the "Front-end" (management/client) and "Back-end" (GPU-to-GPU) AI clusters
Strategic Advisory: Advise Sales Engineers and partners on the transition from traditional SP routing to AI-Optimized WAN and Fabric solutions, ensuring customers' business requirements for massive scale and predictive analytics are met
Ecosystem Integration: Develop deep partnerships with Silicon providers, AI software innovators, and Integrators to solve emerging "AI-scale" problems across multi-tenant environments
Hyperscale AI Networking: Architect and design Hyperscale solutions that specifically address "Job Completion Time" (JCT) metrics critical to AI training customers
Complex Deal Orchestration: In complex Networking Infrastructure deals, the Distinguished Technologist will be responsible for the end-to-end technical solution & customizations, orchestrating other Specialists and Technical resources including Systems Engineers as well as Product Management
Technical Validation: Excel in delivering Demos and Proof of Concept on solutions as well as clearly articulating the value proposition aligned to customer use cases
Stakeholder Engagement: Build relationships with senior resources and technical decision makers with key customers to ensure smooth knowledge transfer and hand-over to the delivery team

What we offer

Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing
Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division
Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good

Fulltime

New

Sr. Software Architect-AI

Join Ericsson as a Senior Software Architect – AI, owning end-to-end architectur...

Location

India , Noida

Salary:

Not provided

Ericsson

Expiration Date

Until further notice

Requirements

BE/B.Tech/MCA in Computer Science, Engineering, or equivalent, with 15+ years in software architecture and relevant 3+ years designing AI/ML or LLM-based systems in production
Deep expertise in Python (FastAPI, asyncio) and ML/DL frameworks (PyTorch, TensorFlow)
strong experience with distributed, cloud-native services
Hands-on with RAG pipelines, embeddings, and vector databases (Elastic, Pinecone, Milvus, Chroma) for enterprise knowledge grounding
Proven experience with agentic GenAI frameworks (LangChain, LangGraph, LlamaIndex, AutoGen) and interoperability patterns such as Model Context Protocol (MCP)
Strong knowledge of LLM architectures, fine-tuning techniques (LoRA, PEFT), and experience with Azure OpenAI and/or AWS Bedrock
Solid understanding of MLOps/LLMOps, Responsible AI principles, and embedding governance into GenAI design
Proficiency with Docker, Kubernetes, Terraform, and CI/CD for cloud-native AI deployments
Good to Have: LLM observability tools (Arize, LangSmith), Azure enterprise services (AKS, Key Vault), memory frameworks (MemGPT, LangMem), knowledge graph experience, and Telecom industry AI adoption background

Job Responsibility

Architect agentic AI applications using LangChain, LangGraph, and orchestration patterns
define prompt strategies, guardrails, and structured outputs aligned to product and risk requirements
Design and optimize RAG solutions (chunking, embeddings, retrieval, re-ranking) and own foundation model integrations (Azure OpenAI, AWS Bedrock, on-prem LLMs) with routing, fallbacks, and cost/performance optimization
Define GenAI reference architectures
evaluate and select LLMs, embedding models, vector databases, and orchestration frameworks based on performance, compliance, and cost
Embed security, privacy, and Responsible AI governance from inception — covering PII handling, data access controls, and content guardrails
Build scalable backend APIs using Python (FastAPI, asyncio) with REST/JSON-RPC interfaces and resilience patterns (Redis, RabbitMQ)
guide teams on MLOps/LLMOps standards including deployment, monitoring, retraining, and drift handling
Define LLM evaluation strategies, implement observability/tracing (Arize, LangSmith), and design memory strategies with retention and replay safety for long-running assistants
Containerize and deploy services via Docker and Kubernetes

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 Architect

Experion Technologies

Location:
India , Kochi ▼
Trivandrum

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
May 15, 2026

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