Enterprise AI Engineer - Modernization Job at OptiSol Business Solutions (Chennai, Madurai)

Principal Ai Engineer - Enterprise Ai Solutions

Our Mission: At Palo Alto Networks®, we’re united by a shared mission—to protect...

Location

United States , Santa Clara

Salary:

185200.00 - 299475.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Bachelor's degree in a related field or equivalent military experience required
12+ years of related experience, or a Master's degree with 8 years of experience, or a PhD with 5 years of experience
Proven expertise in designing and building complex, enterprise-grade AI/ML platforms and applications
Direct hands-on experience with Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI systems
Strong programming skills in languages such as Python, Java, or Go and proficiency in modern AI/ML frameworks (e.g., TensorFlow, PyTorch)
Extensive hands-on experience with distributed systems architecture, streaming data platforms, and cloud AI/ML platforms (e.g., GCP Vertex AI, AWS SageMaker)

Job Responsibility

Lead the applied AI solution design and architecture, breaking down ambiguous business problems into concrete, actionable AI solution designs
Drive the hands-on development and implementation of key AI components, supporting both traditional and Generative AI model development and deployment
Contribute significantly to the detailed design of large-scale, distributed AI/ML systems, ensuring performance, reliability, and security
Proactively collaborate with executive leadership, data science, engineering, and product stakeholders to translate business use-cases into scalable AI solutions
Provide technical leadership and mentorship to other AI/ML engineers, fostering a culture of engineering excellence and hands-on experimentation
Lead the implementation and continuous improvement of MLOps pipelines, including automated model training, versioning, deployment, and monitoring
Champion and enforce design standards, patterns, and best practices for scalable and secure development of AI applications across various teams
Actively research and evaluate cutting-edge AI/ML techniques, algorithms, and models to identify opportunities for platform enhancement and new solution development

What we offer

Restricted stock units
Bonus

Fulltime

New

Sr Engineer, Enterprise AI

The Senior Engineer, Enterprise AI helps design, build, and scale AI-powered app...

Location

United States , Bellevue; Frisco

Salary:

133100.00 - 240100.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

4–7 years of experience in software engineering, AI/ML engineering, platform engineering, or enterprise application development
Experience building and deploying scalable software applications or platforms in enterprise environments
Experience developing AI-enabled applications, intelligent automation workflows, or LLM-powered solutions using modern AI frameworks and tools
Experience designing or integrating distributed systems, APIs, enterprise platforms, or cloud-native applications
Experience collaborating cross-functionally with engineering, product, architecture, and business teams to deliver production solutions
Bachelor's Degree Bachelor’s degree plus 3 years of related work experience OR advanced degree with 1 year of related work experience OR combination of education and experience deemed equivalent
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Design, develop, deploy, and support enterprise AI applications, autonomous agents, and intelligent workflow solutions that improve employee productivity and operational efficiency
Build and optimize Retrieval-Augmented Generation (RAG) pipelines, semantic search capabilities, and AI orchestration workflows integrated with enterprise platforms and data sources
Develop scalable integrations and AI-enabled services connecting systems such as Salesforce, ServiceNow, Snowflake, Databricks, GitLab, Atlassian, and other enterprise platforms
Partner with engineering, product, architecture, and business stakeholders to deliver secure, reliable, and scalable AI-driven solutions in production environments
Apply strong software engineering principles across system design, coding, CI/CD, observability, testing, troubleshooting, and operational support
Utilize modern AI development tools and coding assistants to rapidly prototype, iterate, and improve AI-enabled applications and workflows
Contribute to AI governance, security, reliability, and compliance standards for enterprise AI deployments
Evaluate emerging AI technologies, frameworks, and methodologies to continuously improve platform capabilities and engineering effectiveness
Participate in architectural discussions, technical reviews, and engineering best practices to help raise the overall technical maturity of the team
Support a highly iterative development environment where rapid experimentation, continuous learning, and fast adaptation are critical to success

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Free year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave

Fulltime

Senior Full Stack Engineer (Enterprise AI Project)

At Codvo, we are committed to building scalable, future-ready data platforms tha...

Location

India

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

6+ years of overall professional experience in software engineering
3+ years of relevant, hands-on experience in a Full Stack role
Bachelor's degree in Computer Science or a related technical field
Expert-level proficiency in modern frontend development for web and mobile, using frameworks like React, React Native
Experience building real-time conversational UIs (chatbots, assistants) and working with technologies like WebSockets
Strong proficiency in backend development using Python, Node.js to build and deploy production-grade RESTful APIs and microservices
Demonstrated experience with core AWS services for compute and deployment (e.g., EKS, ECS, Lambda, S3, RDS, API Gateway)
Experience with both SQL (e.g., PostgreSQL) and NoSQL databases

Fulltime

Staff Infrastructure Software Engineer, Enterprise AI

Scale GP is building the next generation of enterprise-grade Generative AI produ...

Location

United States , New York; San Francisco

Salary:

216200.00 - 270250.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Proven experience in a senior role
5+ years of full-time software engineering experience
Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana)
Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)
Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups
Proficiency in Python or JavaScript/TypeScript, and SQL

Job Responsibility

Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers
Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies
Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response
Drive developer efficiency by building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization
Solve the toughest engineering problems related to multi-tenancy, data isolation, and high-performance inference at a massive scale, taking end-to-end ownership across the full product lifecycle

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
additional benefits such as a commuter stipend

Fulltime

Senior Enterprise Agentic AI Engineer

Planet DDS is building a centralized intelligence layer focused on transforming ...

Location

United States , Irvine

Salary:

177000.00 - 221000.00 USD / Year

Planet DDS

Expiration Date

Until further notice

Requirements

5-7 years of experience in software engineering or applied machine learning
2+ years building production deployments of agentic AI systems (tool‑using LLMs or multi‑agent workflows) with measurable business outcomes
Demonstrated experience productionizing AI or LLM-based systems
Proficiency in Python/TypeScript and building API‑first services with CI/CD
Hands-on experience with prompt engineering, evaluation, and optimization
Working knowledge of enterprise lakehouse architectures, including Delta Lake, medallion patterns, streaming ingestion, governance (Unity Catalog), and designing data layers that support high‑performance AI/agentic workflows
Proven ability to integrate Azure OpenAI or similar LLM platforms into orchestrated workflows
Experience designing and orchestrating multi-step, event-driven workflows using modern cloud-native services for serverless execution, workflow orchestration, messaging, and event-driven architecture
Experience designing and deploying cloud-native AI workflows in Microsoft Azure
Demonstrated ability to implement guardrails, output validation, and human‑in‑the‑loop patterns in production

Job Responsibility

Design, build, and scale production-grade agentic workflows that observe operational signals, reason across data, and take or recommend actions such as alerts, task creation, and decision support
Implement multi‑agent patterns (planner/worker, toolformer, delegate/reviewer) with deterministic and human‑in‑the‑loop controls
Architect an agentic intelligence layer atop the enterprise data lakehouse
Own the AI execution layer, including prompt architecture, orchestration, evaluation, monitoring, logging, and tool creation including but not limited to MCP
Translate business needs and operational challenges into clear technical approaches and delivery plans, resulting in scalable, reusable AI solutions
Partner closely with data engineering to define AI-ready schemas and data contracts
Instrument workflows with tracing, cost/perf dashboards, evaluation harnesses (automated + human), and drift monitoring
Ensure AI systems are secure, governed, auditable, and reliable
Drive solutions from concept to production without heavy process or handoffs

What we offer

Medical, dental and vision insurance
Health Savings Account
Flexible Spending Accounts
Telehealth
401(k) and 401(k) match
Life and AD&D insurance
Short-Term and Long-Term Disability
FTO or Vacation
Sick Time
Employee Well-Being program

Fulltime

Staff Software Engineer, Full-Stack - Enterprise Gen AI

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform provi...

Location

United States , New York; San Francisco; Seattle

Salary:

248400.00 - 310500.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of experience developing frontend or fullstack applications in a modern tech stack
Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user-friendly interfaces
Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments
A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms
Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP
A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life

Job Responsibility

Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies
Develop and refine features for Scale’s GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents
Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind
Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences
Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure
Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
commuter stipend
equity
Stock Options

Fulltime

New

Lead AI Engineer (Generative AI)

Location

Australia , Melbourne

Salary:

160000.00 - 170000.00 AUD / Year

Salt

Expiration Date

Until further notice

Requirements

2 – 4 years experience applying modern Generative AI in real delivery environments
A strong track record of providing technical leadership
A strong background in software engineering before stepping into a more AI-focused role in recent times
Deep expertise in Generative AI, large language models, retrieval‑augmented generation (RAG), and modern machine learning techniques
Strengths in prompt engineering, offline/online evaluation, safety guardrails, and telemetry‑driven improvement
Practical experience with RAG, embeddings/vector search, and tool‑use/function‑calling orchestration
The ability to define trustworthy AI metrics
A Software engineering background using the likes of React, Typescript, React Native
AWS experience / certifications
Strong knowledge of CI/CD

Job Responsibility

Accelerating the adoption of Generative AI for this company, leading the adoption of AI‑first engineering practices and an 'AI-first' mindset
Providing technical leadership and shaping AI-enabled solutions
Reporting into the Head of Technology and working closely with the Head of Enterprise AI
Collaborating with a variety of cross-functional teams including
Engineering, QA, BA, Product Management, Senior Business Stakeholders, Data Science, Cyber Security, Enterprise Architecture
Coaching and training engineers and leaders in the organisation in safe, effective AI‑assisted development
Encouraging teams to embed AI‑driven thinking in solution design and delivery
Defining and helping to operationalise trustworthy metrics to measure the impact of AI features, and developer productivity uplifts
Producing AI-augmented solution designs when required
Driving engineering excellence by uplifting standards, modernising technical practices, and championing AI‑aligned SDLC patterns

What we offer

Super
Bonus

Fulltime

Ai / Generative Ai Engineer - Agentic Systems & Platforms

We are seeking an AI / Generative AI Engineer to design and build production‑gra...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Strong Python and backend engineering expertise
Experienced in building and deploying LLM‑based applications, RAG systems, and agentic workflows
Comfortable working with orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel
Knowledgeable in data engineering concepts, including data pipelines and vector databases
Experienced with at least one major cloud platform (Azure, AWS, or GCP)
Familiar with containerisation and deployment using Docker and Kubernetes
Able to collaborate effectively in cross‑functional teams and communicate technical concepts clearly
Committed to secure, ethical, and responsible use of AI technologies

Job Responsibility

Build LLM‑based copilots and intelligent assistants for enterprise use cases
Design and implement Retrieval‑Augmented Generation (RAG) solutions using structured and unstructured data
Develop and orchestrate multi‑agent workflows using modern frameworks and orchestration logic
Create and maintain backend APIs using Python frameworks such as FastAPI or Flask
Integrate enterprise platforms and external APIs into scalable AI solutions
Build data pipelines for ingestion, transformation, and embedding workflows
Implement and manage vector databases, ensuring performance and reliability
Establish evaluation frameworks to assess LLM output quality and relevance
Implement observability practices including tracing, logging, and monitoring
Apply software engineering best practices including modular code design, testing, documentation, and CI/CD pipelines

What we offer

Opportunities to work on cutting‑edge, enterprise‑scale AI systems
Exposure to complex, real‑world use cases with measurable business impact
A collaborative environment that supports continuous learning and growth
Competitive salary and access to Vodafone’s global career development ecosystem

Fulltime

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Enterprise AI Engineer - Modernization

Job Description

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