Operations Executive

Job Title : Agentic AI Architect

Experience : 5+ Years

Location : Hyderabad (Work From Office)

Employment Type : Contract to Hire

Job Summary :

We are seeking an experienced Agentic AI Architect to design, develop, and deploy enterprise-grade AI solutions.

The ideal candidate should have hands-on expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and modern AI frameworks, with a strong focus on building scalable and production-ready AI applications.

Mandatory Skills :

Generative AI, Agentic AI, Python, LLMs, RAG, Prompt Engineering, LangChain, LlamaIndex, OpenAI, Hugging Face, AWS/Azure/GCP, MLOps/LLMOps, APIs, Microservices.

Key Responsibilities :

• Design and architect scalable enterprise AI solutions using Agentic AI and Generative AI technologies.
• Develop AI applications leveraging Python, LLMs, Retrieval-Augmented Generation (RAG), and Prompt Engineering.
• Build and orchestrate AI agents using frameworks such as LangChain, LlamaIndex, OpenAI, Hugging Face, or similar.
• Integrate AI models with enterprise applications using APIs and microservices.
• Deploy, monitor, and optimize AI applications using MLOps/LLMOps best practices.
• Collaborate with cross-functional teams to deliver secure, scalable, and high-performance AI solutions on cloud platforms.

Required Skills :

• 5+ years of experience in AI/ML, software engineering, or enterprise AI solution development.
• Strong hands-on experience with Generative AI, Agentic AI, and Large Language Models (LLMs).
• Proficiency in Python for developing AI-powered applications and intelligent agents.
• Experience implementing Retrieval-Augmented Generation (RAG) pipelines and Prompt Engineering techniques.
• Hands-on expertise with AI frameworks such as LangChain, LlamaIndex, OpenAI, Hugging Face, or equivalent.
• Experience designing and integrating REST APIs and microservices-based architectures.
• Good knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Experience with MLOps/LLMOps tools for model deployment, monitoring, and lifecycle management.
• Strong understanding of scalable, secure, and production-ready AI solution architecture.
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills :

• Experience with vector databases and AI orchestration frameworks.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of cloud-native architecture and distributed systems.
• Experience working on enterprise AI transformation projects.

About Us :

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values :

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement :

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.

Location: Noida, Delhi NCR

Primary Skills - Java 8-17+, Core Java, Design patterns (more than Singleton & Factory), Webservices development REST/SOAP, XML & JSON manipulation, OAuth 2.0, CI/CD, SQL / NoSQL

Secondary Skills -Kafka, Jenkins, Kubernetes, Google Cloud Platform (GCP), SAP JCo library, Terraform

Certifications (Optional): OCPJP (the Oracle Certified Professional Java Programmer) / Google Professional Cloud Developer

Required Experience:

• Must have integration component development experience using Java 8/9 technologies and service-oriented architecture (SOA)
• Must have in-depth knowledge of design patterns and integration architecture
• Must have experience in system scalability and maintenance for complex enterprise applications and integration solutions
• Experience with developing solutions on Google Cloud Platform will be an added advantage.
• Should have good hands-on experience with Software Engineering tools viz. Eclipse, NetBeans, JIRA, Confluence, BitBucket, SVN etc.
• Should be very well verse with current technology trends in IT Solutions e.g. Cloud Platform Development, DevOps, Low Code solutions, Intelligent Automation

• Must-Have Core Expertise:
• Experience: 8–10 years of backend development with a specialization in enterprise systems integration.
• Java Mastery: Expert-level depth in Java 11/17+, advanced multithreading, concurrent programming, and robust Design Patterns (Factory, Builder, Strategy, Adapter).
• High-Performance Communication: Hands-on experience with Protobuf and gRPC-Java implementation (including Stub, Channel, and Transport layers).
• Google Ecosystem & Plugins: Proven experience with Cloud Data Fusion / CDAP plugin frameworks (Source, Sink, Transform), BigQuery DTS APIs, and Google Dataplex connectors.
• GCP Infrastructure: Strong fluency with GCP IAM, Service Accounts, Cloud Storage, Pub/Sub, and Dataproc Serverless.
• DevOps & Provisioning: Competency in multi-module build systems (Maven/Gradle) and Infrastructure as Code (Terraform) for GCP resource provisioning.
• Enterprise application and platform integration experience - Experience of developing 3-4 integration adapters/connectors for enterprise applications (ERP, CRM, HCM, SCM, Billing etc.) or data platforms e..g (Redshift, Databricks, Snowflake, Azure Fabric) using industry standard frameworks and methodologies

Nice-to-Have Skills:

• Experience with distributed computing frameworks: Apache Spark, Apache Beam, or Cloud Dataflow.
• Exposure to real-time event-streaming platforms like Kafka.
• Containerization and deployment orchestration via Kubernetes (GKE) and Docker.
• Familiarity with alternative enterprise data sources (e.g., Snowflake, Databricks, SAP, Salesforce) or Data Mesh architectural patterns.
• Professional Competencies
• Proactive Problem Solving: A self-starter who anticipates integration risks, defines mitigation paths, and champions technical debt reduction.
• Clear Articulation: Exceptional verbal and written English communication skills optimized for hybrid/remote engagement with international clients.
• Organizational Impact: A track record of contributing to reusable technical assets, solution accelerators, and internal intellectual property (IP).

Job Responsibilities:

• Writing the design specifications and user stories for the functionalities assigned.
• Develop assigned components / classes and assist QA team in writing the test cases
• Create and maintain coding best practices and do peer code / solution reviews
• Participate in Daily Scrum calls, Scrum Planning, Retro and Demos meetings
• Bring out technical/design/architectural challenges/risks during execution, develop action plan for mitigation and aversion of identified risks
• Comply with development processes, documentation templates and tools prescribed by CloudSufi or and its clients
• Work with other teams and Architects in the organization and assist them on technical Issues/Demos/POCs and proposal writing for prospective clients
• Contribute towards the creation of knowledge repository, reusable assets/solution accelerators and IPs
• Provide feedback to junior developers and be a coach and mentor for them
• Provide training sessions on the latest technologies and topics to others employees in the organization
• Participate in organization development activities time to time - Interviews, CSR/Employee engagement activities, participation in business events/conferences, implementation of new policies, systems and procedures as decided by Management team

Behavioural competencies required:

• Must have worked with US/Europe based clients in onsite/offshore delivery model
• Should have very good verbal and written communication, technical articulation, listening and presentation skills
• Should have proven analytical and problem solving skills
• Should have demonstrated effective task prioritization, time management and internal/external stakeholder management skills
• Should be a quick learner and team player
• Should have experience of working under stringent deadlines in a Matrix organization structure
• Should have demonstrated appreciable Organizational Citizenship Behavior (OCB) in past organizations

JOB DESCRIPTION/PREFERRED QUALIFICATIONS:

REQUIRED SKILLS/COMPETENCIES:

Programming Languages:

• Strong in Python, data structures, and algorithms.
• Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping.

Machine Learning Frameworks:

• Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM).

Deep Learning Techniques:

• Proficiency with PyTorch or TensorFlow/Keras
• Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms.
• Familiarity with optimization (Adam, SGD), dropout, batch norm.

LLMs & RAG:

• Hugging Face Transformers (tokenizers, embeddings, model fine-tuning).
• Vector databases (Milvus, FAISS, Pinecone, ElasticSearch).
• Prompt engineering, function/tool calling, JSON schema outputs.

Data & Tools:

• SQL fundamentals; exposure to data wrangling and pipelines.
• Git/GitHub, Jupyter, basic Docker.

WHAT ARE WE LOOKING FOR?

• Solid academic foundation with strong applied ML/DL exposure.
• Curiosity to learn cutting-edge AI and willingness to experiment.
• Clear communicator who can explain ML/LLM trade-offs simply.
• Strong problem-solving and ownership mindset.

MINIMUM QUALIFICATIONS:

• Doctorate (Academic) Degree and 2 years related work experience; Master's Level Degree and related work experience of 5 years; Bachelor's Level Degree and related work experience of 7 years in building AI systems/solutions with Machine Learning, Deep Learning, and LLMs.

MUST-HAVES:

• Education/qualification:  Preferably from premier Institute like IIT, IISC, IIIT, NIT and BITS. Also regional tier 1 colleges.

• Doctorate (Academic) Degree and 2 years related work experience; or Master's Level Degree and related work experience of 5 years; or Bachelor's Level Degree and related work experience of 7 years

• Min 5 yrs experience in the Mandatory Skills: Python, Deep Learning, Machine Learning, Algorithm Development and Image Processing

• 3.5 to 4 yrs proficiency with PyTorch or TensorFlow/Keras

• Candidates from engineering product companies have higher chances of getting shortlisted (current company or past experience)

QUESTIONNAIRE: 

Do you have at least 5 years of experience with Python, Deep Learning, Machine Learning, Algorithm Development, and Image Processing? Please mention the skills and years of experience:

Do you have experience with PyTorch or TensorFlow / Keras?

• PyTorch
• TensorFlow / Keras
• Both

How many years of experience do you have with PyTorch or TensorFlow / Keras?

• Less than 3 years
• 3 to 3.5 years
• 3.5 to 4 years
• More than 4 years

Is the candidate willing to relocate to Chennai?

• Ready to relocate
• Based in Chennai

What type of company have you worked for in your career?

• Service-based IT company
• Product company
• Semiconductor company
• Hardware manufacturing company
• None of the above

Key aspects of this role:

• Maintain, update, and enhance ITSM environment including Incident, Request, Problem, Change and Knowledge Management, Service Catalog, Service Portals, SLAs, Discovery, and Integrations

• Participate in the implementation and configuration of other ServiceNow products outside of ITSM to increase the adoption of the ServiceNow platform.

• Responsible for performing daily administration, issue resolution, and troubleshooting of the ServiceNow platform. Monitor health, usage, and overall compliance of ServiceNow and its applications.

To be the right fit, you will need:

• Minimum of 2 years of demonstrated experience in ServiceNow development and configuration.

• Proficient in developing, integrating and maintaining applications using ServiceNow Platform technology and tools.

• Understanding of and experience working with IT Service Management processes (Incident, Problem, Change, Release, SLM, Service Catalog), PPM/ITBM

• Understanding of IT and business requirements with ability to develop, test, deploy improvements, and update Manage and administer lists, filters, forms, platform interfaces (to other data sources) and the data within tables, import sets and the CMDB.

• Preferably certified in ServiceNow

Hands-on experience in Autosar methodologies and workflows.

• Sound understanding of embedded SW development using C on 32/64 bit microcontrollers.

• Experience in at least one of microcontroller architectures: Renesas RH family, Tricore or PowerPC architecture.

• Automotive Product Development Process knowledge (ASpice, ISO26262)

• Experience in one or more of Autosar BSW Modules stacks.

• Autosar based SWcs development in any domain of cluster, ADAS and IVI system.

• Com stack (FlexRay, CAN, LIN, Ethernet) / Memory Stack/ Diagnostic stack/ OS, Wdg, other services.

• Working knowledge on AUTOSAR ECU software architecture

• Understand the various features provided by AUTOSAR BSW modules and configure BSW modules in Davinci Configurator or similar tools

• Understand the AUTOSAR application (SW-C) configuration and the interaction of AUTOSAR applications (SW-C) with the underlying BSW modules

• Understand the functionality of RTE, mapping of application entities with BSW module parameters, OS scheduling concepts, ECU and BSW module state changes

• Understand the AUTOSAR methodology (ECU extract contents, import of ECU extract into configuration tool)

Understand the flow of the AUTOSAR software from application till the underlying driver.

• Manage and build an overall email marketing strategy.
• Create various email lists and campaigns.
• Test every campaign's success.
• Determine email marketing KPIs.
• Develop and present reports on a weekly basis.
• Develop a lead generation strategy.
• Create smart email lists.
• Increase email subscriptions.
• Analyze data to get smart insights.
• Ensure marketing message is conveyed clearly and delivered properly to prospects.
• Ensure messages are mobile-friendly.
  Follow up on interested respondents.
• Distributing emails through the use of automation software.