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Job Title : Workday Integration Consultant (HCM – Absence Management)

Experience : 5 Years

Location : Pan India (Remote)

Notice Period : Immediate Joiners Only

Job Summary :

We are seeking an experienced Workday Integration Consultant with strong expertise in Workday HCM and Absence Management. The ideal candidate will have a proven track record in developing and supporting Workday integrations using tools such as EIB, Core Connectors, XSLT/XML, and Web Services (SOAP & REST).

Mandatory Skills :

• Workday HCM
• Absence Management
• Configuration
• Integrations (EIB, Core Connectors, Web Services)
• Workday Studio

Key Responsibilities :

• Design, develop, test, and deploy Workday integrations (EIB, Studio, Core Connectors).
• Manage end-to-end integration requirements from design to deployment.
• Handle bulk data loads using EIB.
• Collaborate with stakeholders, functional teams, and external vendors for solution delivery.
• Create and maintain design documentation, test plans, and migration documentation.
• Support end-to-end testing, parallel testing, and cut-over activities.
• Participate in Workday release testing and ensure compatibility of integrations.

Required Experience :

• Minimum 5 years of hands-on experience with Workday integrations.
• At least 3 years of experience specifically working with HCM and Absence Management modules.
• Proficient in XML, XSLT, Calculated Fields, and Workday Security Configuration.
• Knowledge of Workday reporting tools including Standard Reports, Custom Reports, PICOF, and PECI.
• Strong understanding of Workday Business Processes and Security Configuration.

Educational Qualification :

• Bachelor’s Degree in Computer Science, Information Technology, or a related field.

Good to Have :

• Experience with other Workday modules like Payroll and Benefits.
• Familiarity with PM tools like MS Project and MS Excel.
• Excellent communication and client interaction skills.

We are seeking an experienced AI Architect to design, build, and scale production-ready AI voice conversation agents deployed locally (on-prem / edge / private cloud) and optimized for GPU-accelerated, high-throughput environments.

You will own the end-to-end architecture of real-time voice systems, including speech recognition, LLM orchestration, dialog management, speech synthesis, and low-latency streaming pipelines—designed for reliability, scalability, and cost efficiency.

This role is highly hands-on and strategic, bridging research, engineering, and production infrastructure.

Key Responsibilities

Architecture & System Design

• Design low-latency, real-time voice agent architectures for local/on-prem deployment
• Define scalable architectures for ASR → LLM → TTS pipelines
• Optimize systems for GPU utilization, concurrency, and throughput
• Architect fault-tolerant, production-grade voice systems (HA, monitoring, recovery)

Voice & Conversational AI

• Design and integrate:
• Automatic Speech Recognition (ASR)
• Natural Language Understanding / LLMs
• Dialogue management & conversation state
• Text-to-Speech (TTS)
• Build streaming voice pipelines with sub-second response times
• Enable multi-turn, interruptible, natural conversations

Model & Inference Engineering

• Deploy and optimize local LLMs and speech models (quantization, batching, caching)
• Select and fine-tune open-source models for voice use cases
• Implement efficient inference using TensorRT, ONNX, CUDA, vLLM, Triton, or similar

Infrastructure & Production

• Design GPU-based inference clusters (bare metal or Kubernetes)
• Implement autoscaling, load balancing, and GPU scheduling
• Establish monitoring, logging, and performance metrics for voice agents
• Ensure security, privacy, and data isolation for local deployments

Leadership & Collaboration

• Set architectural standards and best practices
• Mentor ML and platform engineers
• Collaborate with product, infra, and applied research teams
• Drive decisions from prototype → production → scale

Required Qualifications

Technical Skills

• 7+ years in software / ML systems engineering
• 3+ years designing production AI systems
• Strong experience with real-time voice or conversational AI systems
• Deep understanding of LLMs, ASR, and TTS pipelines
• Hands-on experience with GPU inference optimization
• Strong Python and/or C++ background
• Experience with Linux, Docker, Kubernetes

AI & ML Expertise

• Experience deploying open-source LLMs locally
• Knowledge of model optimization:
• Quantization
• Batching
• Streaming inference
• Familiarity with voice models (e.g., Whisper-like ASR, neural TTS)

Systems & Scaling

• Experience with high-QPS, low-latency systems
• Knowledge of distributed systems and microservices
• Understanding of edge or on-prem AI deployments

Preferred Qualifications

• Experience building AI voice agents or call automation systems
• Background in speech processing or audio ML
• Experience with telephony, WebRTC, SIP, or streaming audio
• Familiarity with Triton Inference Server / vLLM
• Prior experience as Tech Lead or Principal Engineer

What We Offer

• Opportunity to architect state-of-the-art AI voice systems
• Work on real-world, high-scale production deployments
• Competitive compensation and equity (if applicable)
• High ownership and technical influence
• Collaboration with top-tier AI and infrastructure talent

What you'll do:

· Perform complex application programming activities with an emphasis on mobile development: Angular, ionic, Node, TypeScript, JavaScript, Apache Cordova, RESTful APIs and more

· Assist in the definition of system architecture and detailed solution design that are scalable and extensible

· Collaborate with Product Owners, Designers, and other engineers on different permutations to find the best solution possible

· Own the quality of code and do your own testing. Automate feature testing and contribute UI testing framework

· Become a subject matter expert for our mobile applications

· Deliver amazing solutions to production that knock everyone’s socks off

· Mentor junior developers on the team

What we’re looking for:

· Amazing technical instincts. You know how to evaluate and choose the right technology and approach for the job. You have stories you could share about what problem you thought you were solving at first, but through testing and iteration, came to solve a much bigger and better problem that resulted in positive outcomes all-around.

· A love for learning. Technology is continually evolving around us, and you want to keep up to date to ensure we are using the right tech at the right time.

· A love for working in ambiguity—and making sense of it. You can take in a lot of disparate information and find common themes, recommend clear paths forward and iterate along the way. You don’t form an opinion and sell it as if it’s gospel; this is all about being flexible, agile, dependable, and responsive in the face of many moving parts.

· Confidence, not ego. You have an ability to collaborate with others and see all sides of the coin to come to the best solution for everyone.

· Flexible and willing to accept change in priorities, as necessary

Preferred Qualifications:

· Proficient with Apache Cordova framework

· Built or maintained custom Cordova plugin

· Demonstrable knowledge of native coding background in iOS

· Understanding of Apple certificate and profile management

· Experience developing and deploying applications within Kubernetes based containers

· Experience in Agile and SCRUM development techniques

Software Engineer – C++ (3-6 years of experience)

1. Telecom/Volte LTE 2g 3g  Preferred
2. Programming knowledge of multi-threading, sockets, IPCs.
3. Well versed with std and boost libraries.
4. Working knowledge of GNU compilers, optimization techniques on Unix/Linux based systems.
5. Proficient in debugging tools like GDB/Valgrind and profiling tools like oprofile.
6. Knowledge of Diameter (AAA) Stack

• Development experience of communication protocol stacks
• Hands on experience in multi-threaded design techniques and implementation
• Good hands-on experience on data structures and algorithms

Minimum of 4+ years of experience in Java development

• Experience delivering Services (REST, SOAP) and Web applications in Micro services architecture
• Experience developing and deploying Java solutions to cloud
• Experience in Spring Boot and components of Spring framework
• Experience in a JavaScript framework such as Angular or React
• Experience in TDD using Junit or similar frameworks

·       Experience in Design Patterns and service oriented architectural principles, Data structures and Algorithms.

·       Individual should be an active participant in the product design and code reviews for self and team and can competently review any aspect of their product or major sub-system.

·       Experience in SQL, Unix skills.

·       Good communication Skill

• Track record of delivering various features in large-scale applications or core systems with at least 5 years of experience. If you've written code in big data applications handling multitudes of data or real-time events, you're in.
• Experience writing multi-component systems or micro-services, with architectures requiring efficient inter-application communication. If you know what Kafka is, and think it's the bee's knees, we will think the same of you.
• Experience writing in a high-level language such as Go, C, Rust, Python, Ruby, etc.. If you're already writing Go, or spent a weekend debugging the worse memory leak ever, that's a big plus.
• Experience writing APIs (either RESTful or not) and RPCs. If you've broken backwards compatibility for your customers once, and dealt with the fallout, we want you (to deal with the fallout again).
• Experience with RDBMS systems (e.g. MySQL, PostgreSQL, Oracle, SQLite) and/or NoSQL databases (e.g. MongoDB, Redis, Cassandra, Couchbase). If you've written queries with more than two joins, or have a strong opinion of why an integer is better as a primary key (or maybe a UUID), we'd like to hear from you.
• Experience with container platforms and orchestrators such as Docker, Kubernetes and OpenShift is a plus. If you can name one way in which a container is different than a regular process, you're golden.
• Are you a free software/open source nerd? Do you maintain open source projects? Are you a Hacker News reader? Do you remember the days when you had to compile your own Linux kernel? Do you believe it should be called GNU/Linux? Have you ever been in a fight with an Emacs user? Are you an Emacs user? Well, we have the job for you!

Exp : 3 to 10 Years

Required Skills:

• Hands-on experience in installing, configuring and upgrading AAEP, POM, Speech solutions for global customers.
• Knowledge on integration of AAEP, POM, Speech servers with other adjunct and UC solutions.
• Well versed with Linux commands.
• Knowledge in deploying VMWare/OVA would be added advantage.
• Knowledge on Avaya product like CM, SM, SMGR, WebLM, Call center routing etc. would be added advantage.
• Installation, upgrade and integration AAEP, POM, Speech servers for global customers especially in USA.
• Testing and troubleshooting as required.
• Good planning & analytical skills and ability to communicate effectively with global customers. Work under pressure and deliver on customer timelines.
• Implementation and testing will require to be done during customer approved maintenance windows in the respective countries or regions. Will require late night work during implementation & testing.

• Good written and verbal communication skills
• Must have experience working with global customer
• Self-starter and capable of working independently
• Quick learning ability to learn future skills as per business requirement
• Able to work in flexible hours (including late India night and early morning) to support global customers in North America region