Agent Solution Architect Jobs

Clean and maintain all areas assigned Collection and disposable of garbage Work area cleaning and sanitization Refilling of all consumables Use of appropriate cleaning equipment and chemicals Duties as scheduled for each work area Maintain high level of Safety and hygiene Respond and close all calls with regards to immediate assistance for cleaning Daily rounds of allocated area Well-groomed at all times Complying with all HSE requirements Ensuring the cleanliness and hygiene of allocated area Usage of appropriate cleaning agents and equipment. Completing work allotted within the defined time and frequency. Being well groomed Using appropriate PPE Address: Abhiyan Bldg, Opp. Besleri Factory, Chakala, Near Highway, Andheri (E), Mumbai - Facility: UNILEVER- MUMBAI- HO- CORE FM Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP561287

Clean and maintain all areas assigned Collection and disposable of garbage Work area cleaning and sanitization Refilling of all consumables Use of appropriate cleaning equipment and chemicals Duties as scheduled for each work area Maintain high level of Safety and hygiene Respond and close all calls with regards to immediate assistance for cleaning Daily rounds of allocated area Well-groomed at all times Complying with all HSE requirements Ensuring the cleanliness and hygiene of allocated area Usage of appropriate cleaning agents and equipment. Completing work allotted within the defined time and frequency. Being well groomed Using appropriate PPE Address: Abhiyan Bldg, Opp. Besleri Factory, Chakala, Near Highway, Andheri (E), Mumbai - Facility: UNILEVER- MUMBAI- HO- CORE FM Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP563329

Clean and maintain all areas assigned Collection and disposable of garbage Work area cleaning and sanitization Refilling of all consumables Use of appropriate cleaning equipment and chemicals Duties as scheduled for each work area Maintain high level of Safety and hygiene Respond and close all calls with regards to immediate assistance for cleaning Daily rounds of allocated area Well-groomed at all times Complying with all HSE requirements Ensuring the cleanliness and hygiene of allocated area Usage of appropriate cleaning agents and equipment. Completing work allotted within the defined time and frequency. Being well groomed Using appropriate PPE Address: Abhiyan Bldg, Opp. Besleri Factory, Chakala, Near Highway, Andheri (E), Mumbai - Facility: UNILEVER- MUMBAI- HO- CORE FM Qualification: Not Specified Experience: 1 - 1 years Source: Sodexo India | Job Code: IJP561285

Clean and maintain all areas assigned Collection and disposable of garbage Work area cleaning and sanitization Refilling of all consumables Use of appropriate cleaning equipment and chemicals Duties as scheduled for each work area Maintain high level of Safety and hygiene Respond and close all calls with regards to immediate assistance for cleaning Daily rounds of allocated area Well-groomed at all times Complying with all HSE requirements Ensuring the cleanliness and hygiene of allocated area Usage of appropriate cleaning agents and equipment. Completing work allotted within the defined time and frequency. Being well groomed Using appropriate PPE Address: Abhiyan Bldg, Opp. Besleri Factory, Chakala, Near Highway, Andheri (E), Mumbai - Facility: UNILEVER- MUMBAI- HO- CORE FM Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP563323

Clean and maintain all areas assigned Collection and disposable of garbage Work area cleaning and sanitization Refilling of all consumables Use of appropriate cleaning equipment and chemicals Duties as scheduled for each work area Maintain high level of Safety and hygiene Respond and close all calls with regards to immediate assistance for cleaning Daily rounds of allocated area Well-groomed at all times Complying with all HSE requirements Ensuring the cleanliness and hygiene of allocated area Usage of appropriate cleaning agents and equipment. Completing work allotted within the defined time and frequency. Being well groomed Using appropriate PPE Address: Abhiyan Bldg, Opp. Besleri Factory, Chakala, Near Highway, Andheri (E), Mumbai - Facility: UNILEVER- MUMBAI- HO- CORE FM Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP561293

Clean and maintain all areas assigned Collection and disposable of garbage Work area cleaning and sanitization Refilling of all consumables Use of appropriate cleaning equipment and chemicals Duties as scheduled for each work area Maintain high level of Safety and hygiene Respond and close all calls with regards to immediate assistance for cleaning Daily rounds of allocated area Well-groomed at all times Complying with all HSE requirements Ensuring the cleanliness and hygiene of allocated area Usage of appropriate cleaning agents and equipment. Completing work allotted within the defined time and frequency. Being well groomed Using appropriate PPE Address: Abhiyan Bldg, Opp. Besleri Factory, Chakala, Near Highway, Andheri (E), Mumbai - Facility: UNILEVER- MUMBAI- HO- CORE FM Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP561290

Are you a natural leader with a passion for helping others succeed? Join our team and take your career to the next level! We’re looking for a driven professional ready to step into a leadership role in the insurance industry — guiding, mentoring, and growing a team of high-performing field sales representatives while making a real impact on families and communities. Ov e rview NTA Life, a Horace Mann Company is seeking an ambitious and motivated leader to join our Director Transition Program — a structured pathway designed to develop high-performing sales professionals into effective and inspiring Benefit Directors. This program supports a well-qualified candidate who demonstrates strong management potential, a passion for mentoring others, and a commitment to advancing within our career development framework. Participants in this program will receive personalized mentorship, a clear development plan, and a special compensation package designed to reward progress and performance. Progress will be reviewed monthly with the Senior Field Executive. Key Responsibilities Build, mentor, and grow a successful sales team aligned with company goals. Recruit new team members using the company’s proven recruiting system. Field train and support new Benefits Specialists to ensure long-term success. Become proficient in and utilize the company’s asset management system. Conduct regular team meetings and one-on-one coaching sessions. Organize and lead in-school events, while training agents to do the same. Maintain strong relationships and communication across the organization. Review and interpret performance reports to guide team improvement. Understand and clearly communicate incentive programs to team members. Meet weekly or biweekly with the Executive Director for progress evaluation. Qualifications & Attributes Proven track record of above-average sales performance. Strong leadership presence with a desire to coach and develop others.

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. Our Platform: Our mobile apps are Swift and Kotlin. Our frontend is built with React. Our backend uses Elixir and increasingly more and more Python. GenAI has significantly impacted our system architecture, requiring us to adapt and evolve. We are in the midst of a shift from existing products augmented with AI to a full AI-first platform. You Are: A Mobile Principal Software Engineer who will lead our mobile team and evolve it to meet the shifting demand of a full AI-first platform — on a timeline measured in weeks, not quarters. You're deeply hands-on with AI coding agents, and you've used them to ship serious work, not just autocomplete. You're as comfortable architecting a thin mobile client backed by a powerful API as you are dropping into our Python backend (with AI assist) to add what mobile needs. You'll shape our participant experience across mobile with heavy influence on the web too. You're deeply product focused, energized by solving business problems, not just writing code. You ask "why" before "how," and you partner with Product and Design as a peer — shaping problems, not just taking specs. You know when to ship a scrappy prototype to test an assumption versus when to invest in a foundation built to last, and you can explain that call to a PM or designer. You can hold multiple projects in your head at once, spotting where they'll collide, depend on each other, or share a chance for reuse. You bring Principal/Staff-level scope as a product enginee

At Graviton, every strategy, model and edge begins not with instinct, but with someone asking a better question than everyone else. As a Quantitative Research Intern, you'll spend 10-12 weeks working on research that directly shapes how we understand markets and build trading strategies. You'll collaborate with researchers and technologists to investigate market behaviour, test hypotheses, build predictive models and solve problems where the answers aren't obvious. This isn't an internship where you observe from the sidelines. Outstanding work has the potential to shape production strategies and generate real, measurable returns. Ideal candidates are quantitatively sharp, practically minded problem solvers, programmers, mathematicians and scientists who are excited to solve the hardest problems in our field, across our offices in the US, Singapore, Amsterdam and London. What You'll Work On You'll work on real research problems, not simulated exercises, discovering predictive patterns from billions of market events, designing statistical models, and applying machine learning to open research problems. Your work would include: Discovering predictive patterns from billions of market events Designing statistical models that identify trading opportunities Applying probability, optimization and machine learning to open research problems Building AI-powered research agents that accelerate experimentation Developing infrastructure for rapid, large-scale research Designing experiments and backtests to evaluate hypotheses Translating research into production-ready trading signals Exploring new ML, AI and quant finance techniques to find the next source of alpha What You'll Learn Beyond the technical exposure, you'll learn how experienced researchers approach hard problems: breaking them down, questioning assumptions, and deciding based on evidence rather than intuition. You'll be paired with a mentor, reporting manager and buddy, with regular code reviews and feedback through

At Graviton, every strategy, model and edge begins not with instinct, but with someone asking a better question than everyone else. As a PhD Quantitative Research Intern, you'll spend 10-12 weeks pointing the research skills you've spent years building at markets. You'll collaborate with researchers and technologists to investigate market behaviour, test hypotheses, build predictive models and solve problems where the answers aren't obvious. This isn't an internship where you observe from the sidelines, or re-run someone else's experiment. Outstanding work has the potential to shape production strategies and generate real, measurable returns. Ideal candidates are researchers who want to see their methods meet live markets: mathematicians, physicists, statisticians and computer scientists who are excited to solve the hardest problems in our field, across our offices in the US, Singapore, Amsterdam and London. What You'll Work On You'll work on real research problems, not simulated exercises. Your work would include: Discovering predictive patterns from billions of market events Designing statistical models that identify trading opportunities Applying probability, optimization and machine learning to open research problems Running large-scale simulations and experiments on high-performance research infrastructure Designing experiments and backtests to evaluate hypotheses Building AI-powered research agents that accelerate experimentation Developing infrastructure for rapid, large-scale research Translating research into production-ready trading signals Exploring new ML, AI and quant finance techniques to find the next source of alpha What You'll Learn Beyond the technical exposure, you'll learn what changes when research meets live markets: why a result that would survive peer review can still fail as a trading signal, how costs and capacity constrain an idea that looks clean on paper, and how to tell a model that is right from one that is right for the wrong reason.

At Graviton, we don't believe the best trading strategies come from following established playbooks. They come from asking better questions. Why does a pattern exist? What is driving it? Is it real or just noise? Can it be explained, modelled and turned into an edge? As a Quantitative Researcher, you'll work on those questions every day. You'll investigate market behaviour, develop quantitative models, build and test hypotheses and turn insights into trading strategies, working alongside researchers and technologists in an environment where an idea on a whiteboard can reach live trading quickly. This isn't a role where the answers are in a textbook. The problems are open-ended, the data is enormous, and finding the answers is the job. Ideal candidates are rigorous thinkers who genuinely enjoy mathematics, programming and figuring out things that aren't obvious, based in our Singapore, London, Amsterdam or US offices. What You'll Work On You'll work across quantitative research and systematic trading, taking ideas through the full lifecycle: question, hypothesis, experiment, model, validation, strategy, production. Depending on your team and research interests, your work would include: Discovering predictive patterns and sources of alpha from billions of market events Formulating hypotheses about market behaviour and designing experiments to test them Applying probability, statistics, optimization and machine learning to build predictive models and quantitative signals for systematic trading Designing robust backtests and statistical tests to distinguish genuine signals from noise Working with large and complex datasets to uncover patterns that aren't immediately visible Investigating market microstructure and how markets behave at different timescales Evaluating strategy performance, identifying weaknesses and continuously refining models Developing research infrastructure and AI-powered tools and agents that make experimentation faster and analysis deeper Working c

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role We are looking for a Backend Engineer to join our Change Record team within GitLab’s Source Code stage . As AI agents increasingly write code alongside people, every change needs a clear, trustworthy record of what changed, why, and who or what made it. You’ll build that record into GitLab’s source code experience, for humans and agents alike. This is a backend-focused role for an engineer with full-stack experience who enjoys balancing work on existing systems with new product development. That work happens in one of GitLab’s oldest and most complex product areas, where you’ll use Ruby on Rails to improv

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Our engineering team thrives on challenging the norm and drawing from diverse technical backgrounds to build some of the industry’s most reliable, intuitive systems. We are forming a dedicated AI Applications team focused on building systems, tools, and processes that elevate the developer experience and accelerate innovation. We are seeking an experienced Senior Platform Engineer to lead the "Inner Loop" of AI development. In this role, you will bridge high-velocity AI experimentation and enterprise-grade production infrastructure ensuring LLM applications, RAG pipelines, and agentic workflows are built, tested, and deployed with high reliability and efficiency. WHAT YOU’LL DO Deliver Platform Self-Service: Design internal APIs and abstractions allowing engineers to provision AI-ready environments complete with model weights, vector databases, and event streams via single-command automation. Build Agentic & Go-Based Automation: Develop robust, type-safe internal tooling and AI agents in Go and Python to automate root-cause analysis, disaster recovery, and proactive infrastructure optimization. Scale Event-Driven AI Pipelines: Architect asynchronous processing systems using Kafka and RabbitMQ to trigger dynamic infrastructure scaling and handle high-volume data streams like long-running document ingestion. Ensure Reproducible Deployments: Maintain "Golden Path" deployment standards using Docker and Kubernetes

Job Requisition ID # 26WD100819 Position Overview Our team of security experts helps Autodesk design, build, deploy, and maintain secure products. We embed security throughout the product development lifecycle, from inception, design, development, and testing to cloud operations and our response to existing and emerging threats. Our goal is to stay ahead of evolving security threats by combining deep expertise, technology, and automation to protect Autodesk products and the environments in which they operate. We maintain a strong focus on protecting customer data and investments by strengthening our applications, underlying services, and networks. As part of this team, you will help Autodesk build and deliver Artificial Intelligence (AI)-powered products securely. You will partner with Product and Platform teams to threat model new features and systems, with a particular focus on applications that use Large Language Models (LLMs), AI agents, and AI-assisted workflows. You will also develop code and automation to scale security practices, using modern AI-assisted development tools as part of your daily workflow. This is an opportunity to develop your product security expertise at the forefront of AI while helping Autodesk stay ahead of emerging security threats. Responsibilities Conduct and facilitate threat modeling sessions with Engineering teams to identify assets, trust boundaries, attack paths, security risks, and appropriate mitigations for new and evolving product capabilities Threat model AI and Large Language Model (LLM)-powered systems, including agentic workflows, Retrieval-Augmented Gene

As a Product Marketing Intern at Eulerity, you'll get a real look at how our marketing team works, from content and brand work all the way through the automation and data that drives demand generation. You'll pitch in across content, campaigns, and operations, and you'll actually own projects, not just watch from the sidelines. You'll also get to use AI tools as part of your everyday work. Core Responsibilities Shoot and edit video content across customer testimonials, social clips, and website assets, you're comfortable holding a camera and getting a good shot, then taking that footage through editing and adding animation/motion graphics to make it publish-ready. Help write and schedule LinkedIn posts for our marketing and sales teams, covering conferences, other initiatives, and engagement content. Help out with our podcast: researching guests, prepping talking points, and handling episode logistics. Help keep our website updated, put together our newsletters each cycle, and pitch in ideas for an upcoming site revamp. Assist with research and first drafts for industry insight reports, white papers, and blog posts, using AI tools to help speed up the drafting. Help build outbound email sequences that improve click rates, open rates, engagement, and lead volume. Research industry verticals like Health & Wellness, Fitness, Home Improvement, Real Estate, and Tutoring to help shape our messaging. Help build renewal and upsell materials that support Customer Success. Help track campaign performance and pull together marketing metrics reports. Help keep our lead scoring and attribution data clean and accurate. Learn your way around automation tools like n8n, Zapier, or even Claude agents like Claude Code, and help build workflows in them. About Eulerity Eulerity is an AI marketing automation platform that makes digital advertising simple for businesses of all sizes, from local franchises to global enterprises. As a Marketing Intern, you'll work closely with the team