14 Responsible Ai Jobs

You are an experienced management consultant with excellent business acumen, looking to join an agile, dynamic, passionate, and fast-growing AI consulting practice based in Delhi NCR, Mumbai, Hyderabad, or Kolkata. You will be a part of the AI Transformation Consulting (ATC) practice under the Global AIX (AI-First & Experience) practice, responsible for selling and delivering AI, Analytics advisory services in India, selected regions in Asia Pacific, and the Middle East. Your role will involve driving value realization office for transformation programs using the proprietary Infosys Value Management (IVM) platform and collaborating with global teams to deliver AI, Automation, and Data engagements for global clients across various sectors. As a member of the ATC team, your responsibilities will include working in client engagements, responding to RFPs, building PoVs or offerings, and coaching a team of 2-6 consultants. You will spend 75-80% of your time on client engagements and 20-25% on anchoring/driving RFP responses, proactive pitches, meeting clients, building PoVs/offerings, and coaching team members. To succeed in this role, you must be self-motivated, collaborative, and possess structured problem-solving capabilities with good presentation skills. You should excel in researching, generating data-driven insights, preparing impactful stories, and be willing to travel within and outside India on short notice. The ideal candidate will have at least 10 years of business consulting or advisory experience, specifically in delivering strategy and implementation engagements on AI, Automation, and Data. Knowledge in Generative AI, Conversational AI, or responsible AI is a plus. You should have a strong understanding of one industry and one functional domain, along with experience in product management, project and program management, and stakeholder management. Proven experience in managing large-scale projects, ensuring timely delivery, and adherence to quality standards is essential, along with familiarity with PMO processes and best practices to drive project success. Joining Infosys Consulting will give you the opportunity to be part of a global management consulting firm that helps renowned brands transform and innovate using disruptive technology. With offices in 20 countries and the support of the global Infosys brand, you will work with industry experts to lead change agendas and navigate the digital landscape for lasting competitive advantage. To learn more about our work, visit www.InfosysConsultingInsights.com.,

As a Consultant at Level 9 in Bangalore or Gurgaon, you will play a crucial role in designing robust data and AI strategies for large transformation deals. Your key responsibilities will involve discovering appropriate business use cases, reimagining process design, and optimizing architecture to ensure effective outcomes. You will define strategies to evaluate clients" existing data and implement AI capabilities, creating future roadmaps through tools like data diagnostics, data and AI maturity assessment, and business case development. Your expertise will be instrumental in establishing and executing data and AI platform strategies for stakeholders, encompassing cloud computing, emerging data and AI platforms, technologies, trends, and ecosystem strategies. You will be responsible for crafting architecture and operating model blueprints, including organizational design, delivery engagement models, and talent & learning roadmaps to facilitate seamless integration and scalability of AI solutions across the organization, in alignment with business objectives and technical prerequisites. Additionally, you will develop strategic roadmaps for AI initiatives implementation, delineating key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Your role will also entail providing thought leadership on emerging data and AI trends, patterns, and technologies, driving proofs of capability and enabling clients to embrace innovation in the data and AI domain. Collaboration with cross-functional teams will be essential in constructing compelling business cases for AI initiatives, conducting comprehensive cost-benefit analyses, ROI assessments, and risk evaluations to aid decision-making and investment prioritization. You will be expected to incorporate Responsible AI principles into the core AI foundation and solution design, devise plans for leveraging ecosystem partners, and establish an operating model to cultivate a culture of innovation and experimentation within the organization.,

As a Senior Scientist specializing in Responsible AI & Research Integration, you will be playing a critical role in bridging the gap between academic research in AI safety and the practical development of AI products. Based in Bangalore, this high-impact position requires 10 to 18 years of experience in the field. Your primary responsibility will be to advance the frontiers of Responsible AI and AI safety through both foundational and applied research. Approximately 60% of your time will be dedicated to conducting research on topics such as model alignment, transparency, behavioral safety, and oversight mechanisms for autonomous systems. The remaining 40% will involve translating these research insights into practical tools, features, and governance components that can be integrated into internal systems and external offerings. Collaboration will be key in this role, as you will work closely with the AI Research Lab and Responsible AI Office to define research agendas and translate findings into product features and governance frameworks. Additionally, you will be involved in building partnerships with academic labs, participating in external working groups, and providing strategic intelligence on the evolving ecosystem of responsible AI technologies and companies. Your responsibilities will also include developing product roadmap specifications, evaluating early-stage startups in the AI safety space, and monitoring the competitive landscape to identify market gaps in responsible AI tooling. Building collaborative relationships with academic labs, research consortia, and external fellows, as well as representing the company in research summits and public forums, will be part of your external engagement activities. To excel in this role, you should have a PhD in Computer Science, Artificial Intelligence, or a related discipline, with a strong publication record in AI safety research. Experience in translating research into production-ready tools, collaborating with interdisciplinary teams, and evaluating early-stage AI companies will be essential. Strong communication skills, the ability to synthesize insights from academic research, and a network within the responsible AI research community will also be valuable assets. If you are passionate about driving advancements in Responsible AI, thriving at the intersection of science, systems thinking, and strategic influence, and have a track record of contributing to cutting-edge research and product development, this role offers a unique opportunity to make a significant impact in the field.,

As a S&C GN AI - Insurance AI Consulting Manager at Accenture, you will play a crucial role in driving strategic initiatives, managing business transformations, and utilizing industry expertise to develop value-driven solutions. Your responsibilities will include providing strategic advisory services, conducting market research, and offering data-driven recommendations to enhance business performance. At Accenture, you will have the opportunity to be part of the Accenture Global Network, a unified powerhouse that integrates Strategy & Consulting with Data and Artificial Intelligence. This dynamic environment is central to Accenture's future growth, providing continuous learning and growth opportunities for individuals. You will join a diverse, vibrant global community that constantly pushes the boundaries of business capabilities. Accenture's recognition as the 10th on the 2023 World's Best Workplaces list underscores its commitment to being a great place to work. In this role, you will need to have a complete understanding of machine learning and AI, interact with clients to understand their requirements, and translate them into business frameworks by providing advanced analytics solutions. Additionally, you will manage a team of data scientists and data engineers, provide coaching on team management and advanced analytical concepts, and demonstrate excellent written and verbal communication skills. The ideal candidate for this position will have a Bachelor's degree in economics, mathematics, computer science/engineering, operations research, or related analytics areas, along with an MBA from a top-tier academic institution. You should have a minimum of 7 years of experience in Advanced Analytics, with at least 4 years of experience in the Insurance domain. Experience in dual shore engagement, direct client management, new business development, and leading analytics teams is essential. You should possess superior analytical and problem-solving skills, along with the ability to thrive in a fast-paced, dynamic environment. This role offers the opportunity to work on innovative projects, experience career growth, and gain exposure to leadership opportunities. If you are a motivated individual with a solution-oriented mindset and the ability to create market-leading solutions, we encourage you to apply for this exciting position at Accenture.,

As a Management Consulting Manager in the Data & AI Strategy team at Accenture, you will play a crucial role in understanding and analyzing clients" business challenges, guiding them through AI-driven transformations, shaping data strategies, and implementing machine learning solutions. Your responsibilities will include developing AI strategies aligned with clients" business objectives, establishing governance frameworks, designing innovative solutions, and creating implementation roadmaps to drive tangible business value. Moreover, you will lead business development initiatives across various markets and client accounts, foster relationships with senior stakeholders, and drive strategic partnerships to promote business growth within Accenture Strategy and Consulting, particularly in the Global Network division. In this role, you will oversee a team of Consultants, Analysts, and Associates, providing strategic direction on projects, supporting their professional development through mentorship, and driving the creation of assets such as whitepapers, thought leadership content, and industry insights to position the organization as a market leader in AI and emerging technologies. Key Responsibilities: - Advise clients on AI strategy, implementation, and optimization to enhance business transformation and gain a competitive edge. - Offer guidance on data strategy, data governance frameworks, and data architecture to address client challenges effectively. - Collaborate with cross-functional teams to integrate AI-driven insights into business processes, improving efficiency and decision-making. - Lead the development of AI-based thought leadership materials, including whitepapers, industry reports, and case studies. - Stay abreast of industry trends in AI/Gen AI, bringing innovative solutions to clients and the practice. - Mentor and guide a team of consultants, analysts, and associates to drive professional growth and project success. Your experience should include a strong background in AI, Gen AI, Data Strategy, and AI/Data Governance, with a preference for consulting expertise. You should demonstrate the ability to drive business development opportunities, lead AI transformation initiatives, possess exceptional analytical and problem-solving skills, and excel in communication and presentation to senior executives. Additionally, having cross-cultural competence, a fast-paced collaborative work ethic, and experience in mentoring teams in management consulting will be beneficial for this role. A relevant qualification such as an MBA from a Tier-1 business school and 8-12 years of experience in AI/Gen AI, data strategy, or management consulting is required, along with knowledge of cloud platforms, responsible AI, and enterprise AI strategies within the High-Tech industry.,

As a Senior Data Engineer + AI, you will play a crucial role in designing and optimizing distributed data pipelines using PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. Your expertise in PySpark, Apache Spark, and Databricks for batch and streaming data pipelines will be instrumental in contributing to high-impact programs with clients. Your strong SQL skills for data analysis, transformation, and modeling will enable you to drive data-driven decision-making and facilitate rapid insight generation. Your responsibilities will involve supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications, as well as creating and maintaining interactive dashboards and BI reports using tools such as Power BI, Tableau, or Looker. You will collaborate with cross-functional teams, including AI scientists, analysts, and business teams, to ensure the successful delivery of use cases. In this role, you will need to have a solid understanding of data warehouse design, relational databases such as PostgreSQL, Snowflake, SQL Server, as well as data lakehouse architectures. Your familiarity with cloud services for data and AI, such as Azure, AWS, or GCP, will be essential for ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments. Furthermore, your exposure to Generative AI, RAG, embedding models, and vector databases like FAISS, Pinecone, ChromaDB, as well as experience with Agentic AI frameworks such as LangChain, Haystack, CrewAI, will be beneficial. Your knowledge of MLflow, Delta Live Tables, or other Databricks-native AI tools, CI/CD, Git, Docker, and DevOps pipelines will also be advantageous in this role. If you have a background in consulting, enterprise analytics, or AI/ML product development, it will further enhance your ability to excel in this position. Your excellent problem-solving and collaboration skills, coupled with your ability to bridge engineering and business needs, will be key to your success as a Senior Data Engineer + AI.,

We are searching for a skilled and adaptable Data Engineer with proficiency in PySpark, Apache Spark, and Databricks, combined with knowledge in analytics, data modeling, and Generative AI/Agentic AI solutions. This position suits individuals who excel at the convergence of data engineering, AI systems, and business insights, contributing to impactful programs with clients. Your responsibilities will include designing, constructing, and enhancing distributed data pipelines utilizing PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. You will also be tasked with supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications. Additionally, creating and maintaining interactive dashboards and BI reports using tools like Power BI, Tableau, or Looker for business stakeholders and consultants will be part of your role. Furthermore, your duties will involve conducting adhoc data analysis to facilitate data-driven decision-making and rapid insight generation. You will be expected to develop and sustain robust data warehouse schemas, star/snowflake models, and provide support for data lake architecture. Integration with and support for LLM agent frameworks like LangChain, LlamaIndex, Haystack, or CrewAI for intelligent workflow automation will also fall under your purview. In addition, ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments (Azure/AWS/GCP) will be important aspects of your work. Collaboration with cross-functional teams, including AI scientists, analysts, and business teams to drive use-case delivery, is key. Lastly, maintaining robust data governance, lineage, and metadata management practices using tools such as Azure Purview or DataHub will also be part of your responsibilities.,

As a NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team based in Noida, working on cutting-edge technologies to revolutionize the insurance claims processing industry. We are a California-based InsurTech company with a strong focus on innovation and digital transformation in the Property and Casualty sector. You must have a minimum of 2 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques to be considered for this role. We are looking for individuals who are passionate about deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines efficiently. Your main responsibilities will include building and deploying NLP and GenAI-driven products focusing on document understanding, summarization, classification, and retrieval. You will be designing and implementing models using LLMs such as GPT, T5, and BERT, along with working on scalable, cloud-based pipelines for training, serving, and monitoring models. Collaboration is key at Gigaforce, and you will work closely with cross-functional teams including data scientists, ML engineers, product managers, and developers. Additionally, you will contribute to open-source tools and frameworks in the ML ecosystem, deploying production-ready solutions using MLOps practices, and working on distributed/cloud systems with GPU-accelerated workflows. To be successful in this role, you should have a strong grasp of traditional ML algorithms, NLP fundamentals, and modern NLP & GenAI models. Proficiency in Python, experience with cloud platforms like AWS SageMaker, GCP, or Azure ML, and familiarity with MLOps tools and distributed computing are essential. Experience with document processing pipelines and understanding insurance-related documents is a plus. If you are looking for a challenging role where you can lead the design, development, and deployment of innovative AI/ML solutions in the insurance industry, then this position at Gigaforce is the perfect opportunity for you. Join us in our mission to transform the claims lifecycle into an intelligent, end-to-end digital experience.,

The Implementation Technical Architect role focuses on designing, developing, and deploying cutting-edge Generative AI (GenAI) solutions using the latest Large Language Models (LLMs) and frameworks. Your responsibilities include creating scalable and modular architecture for GenAI applications, leading Python development for GenAI applications, building tools for automated data curation, integrating solutions with cloud platforms like Azure, GCP, and AWS, applying advanced fine-tuning techniques to optimize LLM performance, establishing LLMOps pipelines, ensuring ethical AI practices, implementing Reinforcement Learning with Human Feedback and Retrieval-Augmented Generation techniques, collaborating with front-end developers, and more. Key Responsibilities: - Design and Architecture: Create scalable and modular architecture for GenAI applications using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. - Python Development: Lead the development of Python-based GenAI applications, ensuring high-quality, maintainable, and efficient code. - Data Curation Automation: Build tools and pipelines for automated data curation, preprocessing, and augmentation to support LLM training and fine-tuning. - Cloud Integration: Design and implement solutions leveraging Azure, GCP, and AWS LLM ecosystems, ensuring seamless integration with existing cloud infrastructure. - Fine-Tuning Expertise: Apply advanced fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLM performance for specific use cases. - LLMOps Implementation: Establish and manage LLMOps pipelines for continuous integration, deployment, and monitoring of LLM-based applications. - Responsible AI: Ensure ethical AI practices by implementing Responsible AI principles, including fairness, transparency, and accountability. - RLHF and RAG: Implement Reinforcement Learning with Human Feedback (RLHF) and Retrieval-Augmented Generation (RAG) techniques to enhance model performance. - Modular RAG Design: Develop and optimize Modular RAG architectures for complex GenAI applications. - Open Source Collaboration: Leverage Hugging Face and other open-source platforms for model development, fine-tuning, and deployment. - Front-End Integration: Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces. Required Skills: - Python Programming: Deep expertise in Python for building GenAI applications and automation tools. - LLM Frameworks: Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. - Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. - Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. - Fine-tune SLM(Small Language Model) for domain specific data and use cases. - Prompt injection fallback and RCE tools such as Pyrit and HAX toolkit etc. - Anti-hallucination and anti-gibberish tools such as Bleu etc. - Cloud Platforms: Extensive experience with Azure, GCP, and AWS LLM ecosystems and APIs. - Fine-Tuning Techniques: Mastery of PEFT, QLoRA, LoRA, and other fine-tuning methods. - LLMOps: Strong knowledge of LLMOps practices for model deployment, monitoring, and management. - Responsible AI: Expertise in implementing ethical AI practices and ensuring compliance with regulations. - RLHF and RAG: Advanced skills in Reinforcement Learning with Human Feedback and Retrieval-Augmented Generation. - Modular RAG: Deep understanding of Modular RAG architectures and their implementation. - Hugging Face: Proficiency in using Hugging Face and similar open-source platforms for model development. - Front-End Integration: Knowledge of front-end technologies to enable seamless integration of GenAI capabilities. - SDLC and DevSecOps: Strong understanding of secure software development lifecycle and DevSecOps practices for LLMs.,

You will play a key role as a GenAI Solutions & Engineering Subject Matter Expert within our GenAI Incubation Team. Your responsibilities will revolve around collaborating with clients, business stakeholders, and product teams to identify valuable use cases, design scalable Generative AI solutions, and guide them from conceptualization to Minimum Viable Product (MVP) to deployment. To excel in this role, you should possess a total of 10 years of experience in AI/ML, with at least 2 years dedicated to Generative AI solutioning. Your expertise should include the ability to create and implement GenAI applications, copilots, or agent-based systems effectively. Additionally, you should be well-versed in the LLM stack, encompassing prompting, model selection, evaluation, fine-tuning, and deployment processes. Proficiency in Python and familiarity with libraries/frameworks such as LangChain, LlamaIndex, and FastAPI are essential for this position. You should also demonstrate a strong understanding of various GenAI patterns like prompt engineering, RAG, summarization, code generation, and AI Agents among others. Hands-on experience with cloud platforms like Azure OpenAI, AWS Bedrock, GCP Vertex AI, and NVIDIA is a must. A deep comprehension of vector databases, LLM orchestration, memory management, and API integration will further solidify your qualifications. Your role will involve building AI Agents and Agentic AI solutions using industry-leading frameworks and protocols like MCP and A2A. Moreover, a good grasp of Responsible AI principles, explainability, data security, and model auditability will be valuable. Excellent communication skills and the ability to engage effectively with stakeholders are crucial attributes for success in this role. You should be comfortable operating within an agile, fast-paced, and innovative environment where ambiguity is common.,

Key Responsibilities: A day in the life of an Infoscion As part of the Infosys delivery team your primary role would be to interface with the client for quality assurance issue resolution and ensuring high customer satisfaction You will understand requirements create and review designs validate the architecture and ensure high levels of service offerings to clients in the technology domain You will participate in project estimation provide inputs for solution delivery conduct technical risk planning perform code reviews and unit test plan reviews You will lead and guide your teams towards developing optimized high quality code deliverables continual knowledge management and adherence to the organizational guidelines and processes You would be a key contributor to building efficient programs systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: Primary skills Technology DevOps DevOps Architecture Consultancy Technology Finacle Core Payments Positive Pay Services Advance Technology Infrastructure Mainframes Security Technology OpenSystem Python OpenSystem Additional Responsibilities: Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities Strong Technical Skills Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving analytical and debugging skills Preferred Skills: Technology->Cloud Security->AWS - Infrastructure Security->AWS WAF,Technology->DevOps->DevOps Architecture Consultancy,Technology->OpenSystem->Python - OpenSystem->Python,Technology->Machine Learning->Responsible AI->ethical ai,Domain->Healthcare->Payer->FACETS,Technology->Healthcare->EDI

Job Description: Generative AI Expertise In depth knowledge of various Generative AI techniques including GANs Generative Adversarial Networks VAEs Variational Autoencoders and other relevant architectures Experience with both image and text generation is essential Conversant with Gen AI development tools like Prompt engineering Langchain Semantic Kernels Function calling Exposure to both API based and opens source LLMs based solution design Responsible AI Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling transparency and accountability in all stages of AI development Must demonstrate a commitment to upholding privacy standards mitigating bias and fostering trust within data driven initiatives Machine Learning Mastery Profound understanding of machine learning principles algorithms and frameworks Able to design and implement models optimize performance and manage training pipelines effectively Technical Proficiency Proficiency in programming languages commonly used in AI development such as Python TensorFlow PyTorch or similar tools Experience with cloud platforms e g AWS Azure GCP and distributed computing is advantageous Architecture Design Ability to design end to end Generative AI architectures that encompass data preprocessing model selection training pipelines and deployment strategies Strong grasp of scalable reliable and efficient system design Key Responsibilities: A day in the life of an Infoscion As part of the Infosys consulting team your primary role would be to lead the engagement effort of providing high quality and value adding consulting solutions to customers at different stages from problem definition to diagnosis to solution design development and deployment You will review the proposals prepared by consultants provide guidance and analyze the solutions defined for the client business problems to identify any potential risks and issues You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms You will also coach and create a vision for the team provide subject matter training for your focus areas motivate and inspire team members through effective and timely feedback and recognition for high performance You would be a key contributor in unit level and organizational initiatives with an objective of providing high quality value adding consulting solutions to customers adhering to the guidelines and processes of the organization If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: Primary skills Technology Artificial Intelligence Computer Vision Technology Big Data Natural language processing NLP Technology Machine Learning Python Technology Machine Learning TensorFlow Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen strategy and cross industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Preferred Skills: Technology->Artificial Intelligence->Computer Vision,Technology->Big Data->Natural language processing(NLP),Technology->Machine Learning->Python,Technology->Machine Learning->TensorFlow

Job Description Join our team as a Generative AI Architect in the AI Practice! We are looking for a visionary individual to lead the design, development, and deployment of cutting-edge Generative AI solutions, driving business value across our products and services. Key Responsibilities: - Lead generative AI initiatives in text, ASR, TTS & STT generation and develop AI pipelines and ML models. - Design scalable AI systems using state-of-the-art generative models like LLMs and diffusion models. - Collaborate with cross-functional teams to integrate generative AI into business workflows. - Define best practices for model lifecycle management, focusing on data preparation, training, evaluation, deployment, and monitoring. - Guide ethical AI development with a focus on fairness, interpretability, and compliance. Qualifications: - Bachelors or Masters degree in Computer Science or related field. - 7+ years of AI/ML development experience, with 2+ years in generative AI. - Hands-on experience with large language models and diffusion models. - Strong proficiency in Python and ML frameworks. - Experience with Azure, GCP, and containerization. - Familiarity with AI architecture patterns and model fine-tuning. - Knowledge of data privacy laws and AI ethics principles. Preferred: - Experience deploying GenAI applications in production. - Knowledge of vector databases and retrieval-augmented generation. - Experience with CI/CD pipelines for ML. Skills : - Generative AI,Large Language Models (LLMs),Diffusion Models,Machine Learning (ML),Artificial Intelligence (AI),Natural Language Processing (NLP),Python Programming,ML Frameworks (e.g., TensorFlow, PyTorch, Hugging Face),Azure,GCP,Ethical AI,Responsible AI,Vector Databases, RAG

Job Description Do you want to lead teams that find and exploit security vulnerabilities in Fortune 100 companies, critical infrastructure, and public sector agencies impacting millions of users? Join Securins Offensive Security Team where you'll emulate real-world attacks and oversee advanced offensive operations. We are a cross-disciplinary group of red teamers, adversarial AI researchers, and software developers dedicated to finding and fixing vulnerabilities across critical digital ecosystems. Role & responsibilities - Lead and perform advanced offensive security assessments, including Red Team operations, threat-based evaluations, and vulnerability exploitation. - Supervise and mentor a team of offensive engineers, manage task prioritization, and ensure high-quality delivery. - Execute Red Team operations on production systems, including AI platforms, using real-world adversarial tactics. - Provide strategic and technical security guidance to internal and external stakeholders. - Collaborate cross-functionally to integrate findings into enterprise detection and defense strategies. - Research and develop adversary TTPs across the full attack lifecycle. - Build tools to automate and scale offensive emulation and vulnerability discovery, utilizing AI/ML systems. - Continuously evaluate and enhance assessment methodologies and frameworks used by the team. - Contribute to the security community through publications, presentations, bug bounties, and open-source projects. Required Qualifications - 5+ years of experience in offensive security, red teaming, or penetration testing with at least 1 year in a leadership role. - Bachelors or Masters degree in Computer Science, Computer Engineering, or relevant field; or equivalent experience. - Expert knowledge of offensive security tactics, threat modeling, APT emulation, and Red Team operations. - Strong understanding of MITRE ATT&CK framework and exploitation of common vulnerabilities. - Proficiency in one or more programming/scripting languages (Python, Go, PowerShell, C/C++, etc.). - Hands-on experience with penetration testing tools such as Metasploit, Burp Suite Pro, NMAP, Nessus, etc. - Familiarity with security in cloud environments (AWS, Azure, GCP) and across Windows/Linux/macOS platforms. - Ability to clearly articulate findings to technical and executive audiences and lead mitigation efforts. - Authorization to work in the country of employment at time of hire and ongoing during employment. Preferred Qualifications - Certifications like OSCP, OSCE, OSEP, CRTO, or equivalent. - Experience with Purple Team operations and threat intelligence integration. - Track record in CTF competitions or bug bounty programs. - Reverse engineering experience or malware analysis expertise. - Exposure to Responsible AI and adversarial machine learning. - Participation in AI Village at DEFCON or similar security research events. - Publications or contributions to conferences such as AISec, NeurIPS, FAccT, or IC4. Other Requirements Ability to meet Securin, customer, and/or government security screening requirements. This includes a background check at the time of hire/transfer and every two years thereafter. Who Should Apply You have experience executing technical research and offensive security strategies with teams. You are skilled in experimental security science and confident in building your own tools. You clearly communicate findings, are mission-driven, and want to drive change in AI and cybersecurity. Role-Specific Policy This hybrid role requires in-office presence at least 50% of the time. Locations: Chennai, Tamil Nadu (India)