What is AI Engineer team responsible for? As a Senior AI Engineer, youll be a key member of the Data & AI team. This team is responsible for designing and delivering data engineering, analytics, and generative AI solutions that drive meaningful business impact. Were looking for a pragmatic, results-driven problem solver who thrives in a fast-paced environment and is passionate about building solutions at scale. The ideal candidate has a strong technical foundation, a collaborative mindset, and the ability to navigate complex challenges. You should be comfortable working in a fast-moving, startup-like environment within an established enterprise, and should bring strong skill sets to adapt new solutions fast. You will play a crucial role in integrating AI solutions in our existing digital solutions, optimizing our data infrastructure, and enabling insights through data #MID_SENIOR_LEVEL What is a Digital & AI/ML Lead Engineer (Senior AI Engineer) responsible for? Serve as a hands-on technical lead, driving project execution and delivery in our growing AI team based in the Hyderabad office. Collaborate closely with the U.S.-based team and cross-functional stakeholders to understand business needs and deliver scalable, AI-powered solutions. Design and build AI applications leveraging best smart solutions. Provide quick prototype and evaluation AI/ML solutions aligned with business objectives. Stay current with emerging trends in AI, and machine learning and help implement best practices within the team. Mentor and support junior engineers, fostering a culture of learning and technical excellence. Manage unstructured data and generate embeddings that can further be leveraged into AI products. What ideal qualifications, skills & experience would help someone to be successful? Bachelors or master’s degree in computer science, data science, engineering, or a related field from a premium institute. 7+ years of experience in engineering, software engineering, data science, or machine learning, including 3+ years in a technical leadership role. Strong understanding with data pipelines, Snowflake ecosystem and master data management. Proficiency in Python. Experience working with unstructured data, large language models (LLMs), embeddings, and building generative AI prototypes. Self-starter with a passion for learning new tools and technologies. Strong communication skills and a collaborative, ownership-driven mindset. Work Shift Timings - 2:00 PM - 11:00 PM IST

Working mode - 5 Days work from office Wok location - Hyderabad Designation- Full Stack Developer Location-Hyderabad Experience: 3-6 Years Job Summary We are looking for a highly capable Full Stack developer to optimize our web-based application performance. As Senior Full Stack Developer you'll build fully-fledged platforms using a range of different technologies. You'll write clean and functional code on the front-end and back-end. You'll collaborate closely with our development team to ensure system consistency and to create a great user experience. Ultimately, your work will have direct impact on the stability and user experience of our products. Key Skills Node.JS, HTML, CSS, JavaScript, Angular, React, Mongo DB, MySQL, AWS, Azure Responsibilities Involved in the entire product development lifecycle including the design, development, deployment and maintenance of new and existing features. Developing and maintaining all server-side network components. Ensuring optimal performance of the central database and responsiveness to front-end requests. Collaborating with front-end developers on the integration of elements. Designing customer-facing UI and back-end services for various business processes. Developing high-performance applications by writing testable, reusable, and efficient code. Implementing effective security protocols, data protection measures, and storage solutions. Running diagnostic tests, repairing defects, and providing technical support. Documenting processes, including database schemas, as well as preparing reports. Recommending and implementing improvements to processes and technologies. Keeping informed of advancements in the field of web development. Requirements bachelor's degree in computer science or similar. Extensive working knowledge of JavaScript, web stacks, libraries, and frameworks. Proficient working of Mongo DB and My SQL Exposure of front-end technologies such as HTML5 and CSS3. Superb interpersonal, communication, and collaboration skills. Exceptional analytical and problem-solving aptitude. Great organizational and time management skills. Availability to resolve urgent web application issues outside of business hours

What is the AI Adoption and Solutions team responsible for? The AI Adoption and Solutions team drives innovation and transformation within our organization. This dynamic team is responsible for identifying opportunities where artificial intelligence can be leveraged to solve complex business challenges and enhance operational efficiency. They work closely with various departments to understand their needs and develop tailored AI solutions that align with the company's strategic goals. From implementing AI/ML/GenAI models to automating processes, the AI Adoption and Solutions team ensures that AI technologies are seamlessly integrated into the business, providing AI insights, driving growth and enterprise impact. Their expertise in AI adoption and product solutions helps FT stay competitive in a rapidly evolving digital landscape, making them an essential part of the company's success. What is the Product Architect-AI responsible for? As an AI Solution Architect, you will be responsible for designing, developing, and implementing AI solutions that address complex business challenges. You will work closely with cross-functional teams to ensure the successful integration of AI technologies into our products and services. What are the ongoing responsibilities of the Product Architect-AI? Technical: Design and architect AI solutions that meet business value streams and requirements. Own the solution outcome for responsible focus areas. Collaboration: Work closely with stakeholders to understand their business needs and technical specifications. Build partnerships across Technology, Business and control groups. AI Product Management: Lead the development and deployment of AI algorithms for solutions. Ensure scalability, performance, monitoring, security, privacy and ethics of AI solutions. Industry Research and Thought Leadership: Stay informed about the latest trends and advancements in AI technology. Share insights with clients and internal teams to drive continuous improvement and innovation. Leadership: Provide technical guidance and knowledge sharing to teams and partners. Influence AI culture, solutions and mindset among cross-functional teams. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in computer science, Engineering, Data Science, or a related field or equivalent experience. Advanced degrees and certifications in AI, Machine Learning, or related areas are preferred. 10+ years of experience in Product, Artificial Intelligence (AI). Demonstrated experience in AI consulting, AI solution design, implementation, and deployment. Familiarity with AI industry trends and use cases. Experience in a client-facing role is necessary. 5+ years of experience. Understanding business processes related to Asset Management, Retail, Advisory, Retirement, Wealth, Insurance. Experience in product lifecycle processes, including product research, market research, competitive analysis, planning positioning, roadmap development, requirements definition, and product launches and go-to-market strategies. Experience in project management, with the ability to manage multiple projects simultaneously and deliver results within deadlines. Comprehensive knowledge of AI technologies, including machine learning algorithms, data analytics, natural language processing, and computer vision. Proficiency in programming languages such as Python, R, or Java. Strong analytical and problem-solving abilities to evaluate client requirements and develop effective AI strategies. Excellent written and verbal communication skills, with the ability to convey business needs to technical solutions and articulate to stakeholders. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST

What is the Director - Research Scientist AI & Optimization responsible for? The core mandate of this role is to bring innovative digital investment products and solutions to market, leveraging a patented and innovative digital WealthTech/FinTech product - Goals Optimization Engine (GOE) - built with several years of academic research in mathematical optimization, probability theory and AI techniques at its core. The mandate also extends to leveraging cutting edge AI, such as Generative AI, in addition to Reactive AI to create value within various business functions within Franklin Templeton such as Investment Solutions, Portfolio Management, Sales & Distribution, Marketing, and HR functions, among others, in a responsible and appropriate manner. The possibilities are limitless here and present a fantastic opportunity for a self-motivated and driven professional to make significant contributions to the organization and to themselves. What are the ongoing responsibilities of a Director - Research Scientist – AI & Optimization? As a Principal Research Scientist - AI and Optimization, you will play a pivotal role in driving innovation, product research, and proof of concepts for our AI research and Goals Optimization Engine (GOE) product roadmap. You will be responsible for mentoring and guiding a team of highly motivated research scientists, creating intellectual property, and ensuring successful client deployments and product development. Key Responsibilities: Innovation, Product Research, Proof of Concepts, Pseudocode & Design (40%): Lead and contribute to the multi-year Goals Optimization Engine (GOE) product roadmap, conceptualizing fitment against various industry use cases, creating product variants, and designing new features and enhancements across multiple distribution lines and geographies Mentor and guide a team of research scientists to achieve common objectives Serve as the Subject Matter Expert (SME) for a specific domain within AI and/or Optimization, acting as the go-to person for all internal stakeholders Develop pseudocode and working prototypes in a Python environment, collaborating closely with Product Managers and Product Developers Create well-articulated design documents and presentations to explain research to internal and external stakeholders, including clients and partners located globally Lead industry research and evaluate partnerships with third-party vendors and specialized service providers where appropriate Maintain a thorough understanding of boundary conditions, regulatory environments, data challenges, technology integrations, algorithmic dependencies, and operational process nuances to ensure nothing slips through the cracks Stay up to date with the latest developments in the Investment Management industry, Financial Mathematics, Portfolio Construction, and Portfolio Management IP Creation, Paper Writing, and Thought Leadership (30%): Conceptualize and produce high-quality intellectual property for publication in top-tier academic and practitioner journals Peer-review the work of other research scientists and improve the outcome of their research output Create patent-worthy intellectual content, apply for patents, and win them Take responsibility for winning industry awards for exceptional product research and innovative work products Stay informed about the latest industry research and evaluate it objectively and in an unbiased manner Publish research works for conferences Client Deployment, Product Development, and Vendor Due Diligence (30%): Act as the SME in initial client deployment discussions, showcasing the rigor of research, explaining the product or solution concept, and engaging in discussions with similar individuals/teams from the client/partner side Contribute to product development by ensuring alignment with research and design Provide hands-on support where required to complete time-critical work successfully Engage with third-party vendors and potential integration partners to understand their capabilities, methodologies, and algorithms, and perform rigorous due diligence to make clear recommendations on Go/No-Go decisions What ideal qualifications, skills & experience would help someone to be successful? Education: Bachelor's and master's degree in STEM disciplines; a PhD in a relevant discipline (Optimization, Probability, Quant Finance, AI & ML, Computational Mathematics, Statistics, etc.) would be a + Relevant industry certifications Experience - Core Skills: 10+ years of applied R &D experience in research departments of reputed organizations post-Masters or PhD Track record of real innovation generating impact is essential Demonstrated ability to create intellectual content, publish papers, and obtain patents Ability to effectively bridge the gap between academia and practice, ensuring research is practical and implementable Structured thinking and exceptional mathematical skills Excellent team player with the ability to work with ambiguity and thrive in chaos Familiarity with ML/DL/DRL, NLP, especially Large Language Models, dynamic programming, and/or convex optimization Solid experience with AWS and/or Azure Familiar with Python, PySpark, SQL, Hadoop, C++ Experience - Other Soft Skills: Proven ability to take initiative and work under pressure in a changing, fast paced environment Exceptional decision-making skills, with the ability to prioritize across needs given limited resources Thrives in a startup-like environment: loves dealing with a fast pace and changing needs Ability to build relationships both inside and outside of the product organization Ability to narrate a story for a problem along with the capacity to dive into minute details Superlative communication and consensus-building skills Work Shift Timings - 2:00 PM - 11:00 PM IST

What are the ongoing responsibilities of Data Engineer responsible for? We are building a growing Data and AI team. You will play a critical role in the efforts to centralize structured and unstructured data for the firm. We seek a candidate with skills in data modeling, data management and data governance, and can contribute first-hand towards firms data strategy. The ideal candidate is a self-starter with a strong technical foundation, a collaborative mindset, and the ability to navigate complex data challenges #ASSOCIATE What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in computer science or computer applications; or equivalent experience in lieu of degree with 3 years of industry experience. Strong expertise in data modeling and data management concepts. Experience in implementing master data management is preferred. Sound knowledge on Snowflake and data warehousing techniques. Experience in building, optimizing, and maintaining data pipelines and data management frameworks to support business needs. Proficiency in at least one programming language, preferably python. Collaborate with cross-functional teams to translate business needs into scalable data and AI-driven solutions. Take ownership of projects from ideation to production, operating in a startup-like culture within an enterprise environment. Excellent communication, collaboration, and ownership mindset. Foundational Knowledge of API development and integration. Knowledge of Tableau, Alteryx is good-to-have. Work Shift Timings - 2:00 PM - 11:00 PM IST

Responsibilities include: Preparing quarterly portfolio performance, fund and deal by deal level track record information and return attribution analysis across the global portfolio exposures of Buyout, Venture Capital, Growth Equity, Credit, Energy and Infrastructure assets. This includes working with large data sets to calculate various performance metrics and attribution analyses. Support global fundraising efforts for secondary private equity and co-investment strategies Assist with RFPs and DDQs from prospective investors and consultants and coordinate investment diligence requests and certain ad hoc bespoke requests Collaborate with investment deal team professionals to monitor and track investment activity and interim performance Managing and maintaining analytics databases in TopQ, iLevel and proprietary databases Prepare and update data and analysis for marketing materials, including pitchbooks, conference presentation materials, due diligence questionnaires, etc. Prepare and manage custom reports for current and prospective investors, including quarterly and ad hoc reporting, performance data and RFP materials Working with senior professionals to support ongoing investor relations including assisting in the preparation of information for periodic calls, meetings, reports, letters, presentations Prepare and analyze information and materials for individual investor meetings and calls as well as the firms annual meeting and other key investor events Compile investment performance benchmarking analysis and competitor performance reporting Extract and analyze information from third-party databases in timely and efficient manner Contribute to additional project-oriented work and provide general support to all members of the IR team What ideal qualifications, skills and experience would help someone to be successful? Minimum 2-4 years of relevant professional experience in a related field such as private equity, investment banking or asset management Strong analytical or financial modeling skills are a must Advanced proficiency with Microsoft Excel (Pivot tables, Index/Match, Macros, etc.), PowerPoint and Word Experience with Alteryx or other ELT and analytics software preferred Knowledgeable with CRM systems (DealCloud preferred), databases and reporting Excellent written and verbal communication skills Strong work ethic and proactive, positive attitude in a fast-paced environment with enthusiasm for expanding knowledge Team-oriented, energetic self-starter with ability to collaborate cross-functionally across an organization as well as part of a team High level of organization and strong attention to detail Ability to support multiple projects with tight deadlines Strong interpersonal, problem solving, analytical and troubleshooting skills Strong undergraduate track record from a top institution Other Detail: Competitive compensation and benefits package Work Shift Timing - 2:00 PM - 11:00 PM IST

Role & Responsibilities: As a Software Engineer, specializing in application development/ integrating our own application with the ERP Application, you will be responsible for ensuring the smooth development, delivery, and user support of software applications within our organization. You will work closely with internal stakeholders to develop new features in our own product, troubleshoot issues, implement improvements, and provide technical expertise to maximize the efficiency and effectiveness of our applications. • Application Development and new feature development for Live Clients • Debugging the issue and fixing the same • Code Maintenance & Versioning • Application Performance Monitoring and Optimization • Understanding Requirement and Documentation. • Customer Satisfaction Management • Team Collaboration • Continuous Improvement • User Training and Documentation (Excel, PPTs) Required Skills: • Technical Skills: • Scripting: Python, Django, Batch files, Power shell • Database- MS SQL, Postgres SQL • Understanding of Integration Points with ERP - Flat File, XLSX, API, Z-tables, Web Services, JSON formats • Technical proficiency in software application development Life Cycle (SDLC), and operating systems (Windows, Linux). • Need to be aware about Domains, SSL certificates, batch jobs, ftp, sftp, mount points, IIS. • Analytical & Problem-Solving Skills: Able to produce solutions • Communication Skills: Good communication skills with the ability to translate technical concepts into user-friendly language. Required Experience: 2 to 5 years of proven hands-on technical experience Qualification : A bachelors degree in information technology, Computer Science, or a related field is preferred. Location: Thane, Mumbai Work Arrangement: 5 days - Work from Office

What are the ongoing responsibilities of the Lead Software Engineer? Development and Implementation: Design, code, test, and deploy AI-based tools and applications using contemporary technologies. Ensure robust, scalable, and maintainable code. Collaboration with Stakeholders: Work closely with sales, distribution, and operations teams to gather requirements, understand challenges, and provide tailored solutions. Act as a bridge between technical and non-technical teams. AI Integration: Integrate generative AI algorithms and models into software products to enhance functionality and user experience. Stay updated with the latest advancements in AI and machine learning. System Maintenance: Maintain and improve existing software systems by identifying and fixing bugs, optimizing performance, and implementing new features based on user feedback. Documentation: Create and maintain comprehensive documentation for all development activities, ensuring that future modifications and maintenance can be conducted efficiently. Quality Assurance: Conduct regular testing and code reviews to ensure high standards of quality and reliability in all software products. Training and Support: Provide training and technical support to end-users, ensuring they can effectively utilize the developed tools. Gather feedback to continuously improve the products. Innovation and Research: Conduct research and feasibility analysis for new technologies and approaches to keep the company's AI tools at the cutting edge. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in computer science, Software Engineering, or a related field. A master’s degree is preferred. Courses or certifications in AI, machine learning, or data science are highly desirable. Work Experience: 8-10 years of experience in software development, with a focus on building AI-based applications. Proficiency in full stack development, or specialization in backend frameworks (Python, Django). Experience working with cross-functional teams and integrating AI solutions into business processes. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST

What are the ongoing responsibilities of the Lead Software Engineer? Development and Implementation: Design, code, test, and deploy AI-based tools and applications using contemporary technologies. Ensure robust, scalable, and maintainable code. Collaboration with Stakeholders: Work closely with sales, distribution, and operations teams to gather requirements, understand challenges, and provide tailored solutions. Act as a bridge between technical and non-technical teams. AI Integration: Integrate generative AI algorithms and models into software products to enhance functionality and user experience. Stay updated with the latest advancements in AI and machine learning. System Maintenance: Maintain and improve existing software systems by identifying and fixing bugs, optimizing performance, and implementing new features based on user feedback. Documentation: Create and maintain comprehensive documentation for all development activities, ensuring that future modifications and maintenance can be conducted efficiently. Quality Assurance: Conduct regular testing and code reviews to ensure high standards of quality and reliability in all software products. Training and Support: Provide training and technical support to end-users, ensuring they can effectively utilize the developed tools. Gather feedback to continuously improve the products. Innovation and Research: Conduct research and feasibility analysis for new technologies and approaches to keep the company's AI tools at the cutting edge. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in computer science, Software Engineering, or a related field. A master’s degree is preferred. Courses or certifications in AI, machine learning, or data science are highly desirable. Work Experience: 8-10 years of experience in software development, with a focus on building AI-based applications. Proficiency in full stack development, or specialization in frontend technologies (React) and Python. Experience working with cross-functional teams and integrating AI solutions into business processes. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST