- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: AI Application Engineer.
Urgent! AI Application Engineer Job Opening In India, India – Now Hiring Avaya
Avaya is an enterprise software leader that helps the world’s largest organizations and government agencies forge unbreakable connections.
The Avaya Infinity™ platform unifies fragmented customer experiences, connecting the channels, insights, technologies, and workflows that together create enduring customer and employee relationships.
We believe success is built through strong connections – with each other, with our work, and with our mission.
At Avaya, you'll find a community that values your contributions and supports your growth every step of the way.
Learn more at https://www.avaya.com
REMOTE FROM INDIA
Job Description
We are seeking a highly experienced and visionary Lead AI Application Engineer to join our core AI team.
This pivotal role will be instrumental in designing, developing, and deploying advanced Generative AI and Agentic AI applications.
You will be a key contributor to our strategic initiatives, working on complex problems that require deep technical expertise and a forward-thinking approach.
This is an exceptional opportunity for an individual who thrives on building sophisticated, autonomous AI systems and wants to make a significant impact.
Responsibilities
● Provide thought leadership around applying AI and ML technology and help define technical direction and architecture with engineering team members.
● Leading the exploration and application of Large Language Models, Agentic AI and Generative AI, venturing into new areas within these fields.
● Architect and implement robust, scalable, and efficient AI systems leveraging a variety of AI/ML, data science, deep learning, and agentic AI frameworks.
● Drive the integration of complex Model Context Protocol (MCP) and agent-to-agent (A2A) communication protocols, ensuring seamless interaction and optimal performance.
● Design, build, and deploy autonomous agents capable of complex decision-making and task execution in dynamic environments.
● Design and implement scalable and efficient AI/ML systems, architectures, and pipelines that can handle large volumes of data and deliver accurate and timely results.
● Develop and maintain real-world NLP features using the latest techniques for call routing, intent identification, named entity recognition, information retrieval, summarization etc.
● Conduct extensive research and experimentation with emerging AI technologies, specifically in Generative AI and Agentic AI, to identify and implement innovative solutions.
● Collaborate closely with cross-functional teams including data scientists, software engineers and product managers to translate business requirements into technical solutions.
● Regularly self-educate while mentoring and provide technical leadership to other engineers, fostering a culture of continuous learning and excellence.
Requirements
Qualifications
● 10+ years of progressive hands-on technical experience in Artificial Intelligence, Machine Learning, Data Science, and Deep Learning.
● Demonstrated experience (3+ years) actively working on and deploying Generative AI and Agentic AI applications.
● Extensive hands-on experience with multiple AI and Agentic AI frameworks, such as (but not limited to):
○ Generative AI: TensorFlow, PyTorch, Hugging Face Transformers, OpenAI API, LangChain, LlamaIndex, etc.
○ Agentic AI: LangChain Agents, Auto-GPT, CrewAI, multi-agent simulation frameworks, etc.
● Experienced with leading LLM models such as OpenAI's GPT series, Google's Gemini, Meta's Llama, and Anthropic's Claude, including fine-tuning and deployment for specific applications.
● Deep understanding and practical experience with Multi-Component Platforms (MCP) and Agent-to-Agent (A2A) communication patterns.
● Experience with cloud platforms (Azure, GCP, AWS) and MLOps practices.
● 5 + years of experience writing and deploying production quality models in languages such as Python
● Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
Knowledge, Skills, And Abilities
● Expertise in developing on a Azure cloud platform is a big plus
● Contributions to open-source AI projects, particularly in Generative AI or Agentic AI
● Familiarity with reinforcement learning and multi-agent reinforcement learning.
● Outstanding written and verbal communication skills
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your AI Application Potential: Insight & Career Growth Guide
Real-time AI Application Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AI Application in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 140527 jobs in India and 9896 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in AI Application roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Avaya is currently hiring and seeking a AI Application Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: AI Application Engineer Jobs India.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Avaya adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a AI Application Engineer Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for AI Application Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for AI Application Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your AI Application Engineer interview at Avaya, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Avaya's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for AI Application Engineer is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!