Full-Time
AI Engineer Lead
Agentic Engineering
Posted on 8/23/2026
blend360
1,001-5,000 employees
Enterprise AI data science and analytics
No salary listed
Hyderabad, Telangana, India
In Person
 Software Engineering (1) |
|---|
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- At least 6 years of software engineering or AI engineering experience with strong hands-on development experience.
- Strong software engineering fundamentals and experience building production-grade applications and services.
- Demonstrable experience building production-grade agentic artificial intelligence systems beyond simple chatbots or basic retrieval-augmented generation applications.
- Strong understanding of agent evaluation, including designing evaluation frameworks for autonomous and multi-agent systems.
- Experience creating evaluation datasets, test scenarios, metrics, automated regression tests, and quality gates for agentic applications.
- Ability to evaluate agents beyond final-answer accuracy, including planning, tool use, reasoning trajectory, context handling, reliability, safety, latency, cost, and task completion.
- Strong hands-on experience with Python and modern backend and application programming interface development.
- Experience with large language models, generative artificial intelligence, agent orchestration, tool calling, and retrieval-augmented generation.
- Experience with agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Google ADK, or equivalent.
- Strong understanding of multi-agent architectures, planning, reasoning, context management, tool use, memory, and agent execution.
- Experience with evaluation frameworks to measure and improve artificial intelligence and agent performance.
- Experience with cloud, containers, continuous integration and continuous delivery, application programming interfaces, databases, and production deployments.
- Strong understanding of software architecture, debugging, testing, scalability, and production engineering practices.
- Practical exposure to using AI agents as engineering tools within the software development lifecycle, rather than simply developing AI applications.
- Drive adoption of agentic engineering practices across the software development lifecycle using AI agents to augment and automate engineering workflows.
- Leverage Claude Code, Claude Code Skills, PI, Hermes Agent, and comparable AI coding and engineering agents in day-to-day software development.
- Build AI-assisted workflows covering requirements analysis, code generation, code understanding, refactoring, testing, debugging, documentation, code review, and deployment.
- Design agent workflows that understand large codebases, manage context, use tools, execute multi-step engineering tasks, and recover from failures.
- Establish best practices for context management, context engineering, tool calling, agent orchestration, guardrails, human-in-the-loop workflows, and autonomous task execution.
- Design and implement evaluations to measure agent correctness, reliability, code quality, task completion, regression, and overall effectiveness.
- Continuously evaluate emerging agentic coding tools and techniques and identify opportunities to improve engineering productivity and software quality.
- Architect and develop multi-agent and agentic systems capable of performing complex, multi-step tasks in production environments.
- Design agent architectures involving planning, reasoning, tool use, memory and context, execution, reflection, validation, and error recovery.
- Build agents that integrate with application programming interfaces, databases, enterprise systems, developer tools, and other external services.
- Develop reliable tool-use and Model Context Protocol-based integrations where appropriate.
- Build production-grade large language model applications using LangGraph, LangChain, or equivalent orchestration frameworks.
- Implement retrieval-augmented generation, semantic search, vector retrieval, structured outputs, and other large language model application patterns where required.
- Establish observability, evaluation, monitoring, security, and guardrails for agentic applications.
- Provide technical leadership across the design and development of AI-powered software products and platforms.
- Apply software engineering principles including system design, modular architecture, application programming interface design, scalability, reliability, testing, continuous integration and continuous delivery, and maintainability.
- Build production-quality services and application programming interfaces using Python, FastAPI, Docker, Kubernetes, and cloud platforms.
- Work with engineering, product, data, and client teams to translate complex business problems into scalable technical solutions.
- Conduct technical design reviews and provide mentorship to other AI and software engineers.
- Establish engineering standards and best practices for building AI and agentic applications.
- Act as a technical leader for agentic AI initiatives and influence architecture and engineering decisions across teams.
- Mentor engineers on AI engineering, agentic architectures, software engineering practices, and AI-assisted development.
- Stay current with AI coding agents, agent frameworks, large language model capabilities, evaluation methodologies, and engineering practices.
- Prototype emerging technologies and transition successful approaches into reliable production solutions.
- Collaborate with clients and internal stakeholders to identify opportunities where agentic AI can deliver measurable business and engineering value.
- Build and scale production-grade agentic AI systems.
- Help Blend360 adopt agentic engineering across the software development lifecycle.
- Improve developer productivity through AI-assisted engineering workflows.
- Establish repeatable approaches for context engineering, agent orchestration, tool use, and evaluations.
- Help teams safely adopt AI coding agents such as Claude Code, PI, Hermes Agent, and emerging equivalents.
- Raise the engineering quality, reliability, and scalability of AI solutions delivered to clients.
- Become a technical authority in agentic AI engineering.
- Experience with the Model Context Protocol and building Model Context Protocol servers or tools.
- Experience with Claude, GPT, Gemini, Llama, or other frontier models.
- Experience with AWS, Azure, or Google Cloud Platform.
- Experience with Kubernetes, Docker, continuous integration and continuous delivery, and cloud-native architectures.
- Experience with large language model observability and tracing.
- Experience with Langfuse, Arize Phoenix, OpenTelemetry, or similar tools.
- Experience implementing automated agent evaluations, regression testing, and quality gates.
- Experience with distributed systems and scalable AI inference.
- Experience working in consulting or client-facing environments.
Blend360 provides AI and data analytics services to large enterprises, helping them turn data into better business results. It designs and deploys AI-powered solutions, covering AI strategy, data engineering, governance, machine learning, and business intelligence, and it also offers talent solutions to staff analytics teams. The company differentiates itself through a strong data-centric focus, extensive leadership experience, and growth via acquisitions funded by Recognize, including nuvu to expand in Latin America. Its goal is to help Fortune 500 and 1000 clients become more data-driven and achieve measurable performance through end-to-end analytics and AI capabilities.
Company Size
1,001-5,000
Company Stage
Growth Equity (Non-Venture Capital)
Total Funding
$100M
Headquarters
Columbia, Maryland
Founded
2016
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Simplify's Take
What believers are saying
- August 18, 2026 ADRES cut Colombian medical claims audits 96% using Blend.
- March 5, 2026 Mexico expansion targets 100 hires and broader Americas delivery.
- Blend is hiring aggressively while growing headcount 30.6% to 1,168 employees.
What critics are saying
- Services revenue depends on enterprise AI budgets and project renewal cycles.
- Integrating In516ht across Slovenia, Dubai, and Riyadh creates delivery and culture friction.
- If 750-engineer growth misses, Blend loses against Accenture, Cognizant, and boutique rivals.
What makes blend360 unique
- May 13, 2026 Snowflake Elite Partner status proves deep platform specialization.
- BlendX runs natively inside client Snowflake accounts, preserving data sovereignty.
- June 2, 2026 In516ht added 90 specialists across Europe and the Gulf.
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Benefits
Health Insurance
Vision Insurance
Dental Insurance
401(k) Retirement Plan
Life Insurance
Commuter Benefits
Growth & Insights and Company News
6 month growth
↑ 22%1 year growth
↑ 22%2 year growth
↑ 22%Colombia's health system administrator ADRES, partnering with AI services provider Blend360, has launched PAACME to automate medical claims auditing for traffic accident victims. The system uses Claude AI models on Amazon Bedrock to process claims from clinics and hospitals treating victims of accidents involving uninsured vehicles, as well as terrorist incidents and natural disasters. PAACME reduced audit processing times by 96%, from five hours to 5-10 minutes per case, whilst cutting costs by 75%. The AI achieved 87% accuracy in medical components. ADRES aims to reduce overall claims processing from over four months to under two weeks. In 2025, ADRES paid COP 702 billion in related claims, with healthcare providers submitting 432,234 new claims worth over COP 1.07 trillion.
Andrés Barrantes of Blend360 at ANDICOM 2026: AI That doesn't generate measurable value isn't strategy - it's cost. 07 Aug 2026 Blend360's SVP LATAM comes to Cartagena with real-world cases, practical methodologies, and a question every organization should already be answering. Twenty years turning AI from vision into business execution. Andrés Barrantes is Senior Vice President and LATAM Region Head at Blend360, a global company specializing in artificial intelligence, advanced analytics, and technology engineering. His journey began with the founding of nuvu, a Colombian technology company that, under his leadership, achieved AWS Premier Partner status, placing it among the top 3% of AWS partners worldwide in cloud and AI competencies. That achievement reflects much more than technical expertise. Barrantes has not only spoken about digital transformation - he has designed, implemented, and scaled it across organizations in public safety, financial services, education, and digital government. His work includes predictive systems that optimize resource allocation for law enforcement agencies, large-scale analytics platforms that support strategic decision-making, and AI solutions that have delivered measurable improvements in revenue collection and operational efficiency. Recognized by Revista Gerente as one of Colombia's 100 Most Successful Executives, Barrantes combines executive leadership, technical expertise, and a results-driven approach. AI That Creates Value: from ROI to competitive advantage. The session Barrantes brings to ANDICOM 2026 addresses one of the most challenging questions facing AI initiatives today: how can organizations determine whether AI is truly delivering business value? AI That Creates Value: How to Turn Data Into Revenue, Efficiency, and a Competitive Edge explores this challenge through three measurable business dimensions: revenue growth, cost optimization, and competitive differentiation, supported by real-world cases that demonstrate how each can be measured and scaled. One of the session's key contributions is a practical methodology for measuring return on investment (ROI) in AI initiatives - helping organizations determine when an AI project is creating value, when it is not, and which indicators should guide investment decisions before additional resources are committed. The session also examines some of the most common pitfalls in AI adoption, including implementing technology without a clearly defined business challenge, while offering practical recommendations for launching initiatives that deliver measurable impact from the very beginning. Andrés Barrantes understands the challenge of scaling AI because he has spent two decades solving it. This September, he joins ANDICOM 2026. ANDICOM 2026 · September 1-4 · Cartagena, Colombia
Blend Recognized for Leadership in AI-Driven Decisioning with Customer Decision Hub Award at PegaWorld 2026. PR Newswire Today at 8:30am PDT NEW YORK, June 8, 2026 /PRNewswire/ - Blend360, a premier AI services provider, has been honored with the Customer Decision Hub Award from Pegasystems Inc. (NASDAQ: PEGA), The Enterprise Transformation Company(TM). The award, announced at the PegaWorld Partner Summit on June 7, recognizes Blend's ability to turn first-party data into intelligent, real-time customer engagement using Pega Customer Decision Hub(TM)(CDH). Blend Recognized with Customer Decision Hub Award at PegaWorld 2026 for Leadership in AI-Driven Decisioning Today's consumers expect every interaction to feel like it was designed for them. Meeting that expectation at scale across channels, products, and the full customer lifecycle is where many enterprises stall. Blend's Decisioning Tools & Systems team closes that gap - combining AI, real-time decisioning, and 1:1 engagement expertise to help enterprises operationalize CDH, lift retention, and drive revenue. "Congratulations to Blend for receiving the Customer Decision Hub Award for excellence in delivering personalized, contextual, and relevant customer experiences. This achievement highlights their exceptional expertise in leveraging Pega's powerful capabilities to drive transformational customer experiences that lead to increased satisfaction and customer retention at leading enterprises. Together, we are committed to empowering our customers to continue to transform their businesses, using enterprise-grade AI to advance their ability to innovate, grow, and add value where it matters most. We look forward to our continued collaboration." Dan Kasun, Global Head of Partner Ecosystem, Pega Blend is at the forefront of defining how Pega CDH fits into the broader agentic personalization landscape, drawing on over 15 years of operationalizing the platform for large, complex enterprises and now extending that foundation into AI-driven, agentic customer engagements. Over the past year, the team has helped enterprise clients deploy and scale next-best-action programs that lift conversion, retention, and lifetime value while reducing the total cost of ownership of their omnichannel marketing stack. The Customer Decision Hub Award recognizes the depth of those engagements as well as Blend's leadership in shaping where deterministic decisioning meets agentic AI. "This award means a lot to our team. We're working with some of the world's largest, most complex enterprises to bring rigor and reliability into a moment that's getting more agentic by the day. When we get that right, every customer interaction becomes a real-time conversation, and the business sees it in stronger engagement, retention, and revenue." Steve Ashe, SVP Decisioning Tools & Systems, Blend As a 1:1 Customer Engagement Specialized Pega Partner, Blend brings a team of certified Pega architects, decisioning consultants, and data scientists with a track record across financial services, insurance, automotive, media, telecommunications, and healthcare. The Customer Decision Hub Award follows Blend's recognition with the 2023 Client Innovation in 1:1 Customer Engagement Award from Pegasystems. Blend360 is a premier data science solutions provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking growth and fostering innovation, paving the way to value for its clients by harnessing world-class talent and a data-driven strategy. By blending in, Blend360 ensures its clients stand out, making the world a better place through the transformative potential of data science. For more information, visit www.blend360.com. SOURCE Blend360 This is a paid placement. For further inquiries, please contact PR Newswire directly.
Blend Recognized for Leadership in AI-Driven Decisioning with Customer Decision Hub Award at PegaWorld 2026. NEW YORK, June 8, 2026 /PRNewswire/ - Blend360, a premier AI services provider, has been honored with the Customer Decision Hub Award from Pegasystems Inc. (NASDAQ: PEGA), The Enterprise Transformation Company(TM). The award, announced at the PegaWorld Partner Summit on June 7, recognizes Blend's ability to turn first-party data into intelligent, real-time customer engagement using Pega Customer Decision Hub(TM)(CDH). Blend Recognized with Customer Decision Hub Award at PegaWorld 2026 for Leadership in AI-Driven Decisioning Today's consumers expect every interaction to feel like it was designed for them. Meeting that expectation at scale across channels, products, and the full customer lifecycle is where many enterprises stall. Blend's Decisioning Tools & Systems team closes that gap - combining AI, real-time decisioning, and 1:1 engagement expertise to help enterprises operationalize CDH, lift retention, and drive revenue. "Congratulations to Blend for receiving the Customer Decision Hub Award for excellence in delivering personalized, contextual, and relevant customer experiences. This achievement highlights their exceptional expertise in leveraging Pega's powerful capabilities to drive transformational customer experiences that lead to increased satisfaction and customer retention at leading enterprises. Together, we are committed to empowering our customers to continue to transform their businesses, using enterprise-grade AI to advance their ability to innovate, grow, and add value where it matters most. We look forward to our continued collaboration." Dan Kasun, Global Head of Partner Ecosystem, Pega Blend is at the forefront of defining how Pega CDH fits into the broader agentic personalization landscape, drawing on over 15 years of operationalizing the platform for large, complex enterprises and now extending that foundation into AI-driven, agentic customer engagements. Over the past year, the team has helped enterprise clients deploy and scale next-best-action programs that lift conversion, retention, and lifetime value while reducing the total cost of ownership of their omnichannel marketing stack. The Customer Decision Hub Award recognizes the depth of those engagements as well as Blend's leadership in shaping where deterministic decisioning meets agentic AI. "This award means a lot to our team. We're working with some of the world's largest, most complex enterprises to bring rigor and reliability into a moment that's getting more agentic by the day. When we get that right, every customer interaction becomes a real-time conversation, and the business sees it in stronger engagement, retention, and revenue." Steve Ashe, SVP Decisioning Tools & Systems, Blend As a 1:1 Customer Engagement Specialized Pega Partner, Blend brings a team of certified Pega architects, decisioning consultants, and data scientists with a track record across financial services, insurance, automotive, media, telecommunications, and healthcare. The Customer Decision Hub Award follows Blend's recognition with the 2023 Client Innovation in 1:1 Customer Engagement Award from Pegasystems. Blend360 is a premier data science solutions provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking growth and fostering innovation, paving the way to value for its clients by harnessing world-class talent and a data-driven strategy. By blending in, Blend360 ensures its clients stand out, making the world a better place through the transformative potential of data science. For more information, visit www.blend360.com. SOURCE Blend360 For further information: For Media Inquiries, please contact [email protected]
Blend360 boosts global AI success with In516ht acquisition. June 4, 2026 Last Updated: June 4, 2026 Blend360, a global leader in AI services, has announced the acquisition of In516ht, a renowned Snowflake Elite Partner. This strategic move aims to expand Blend360's presence and boost its enterprise AI capabilities worldwide. The transaction demonstrates Blend360's commitment to leveraging the Snowflake Data Cloud ecosystem to deliver enhanced data and AI solutions for clients globally. Blend360 expands global footprint with In516ht acquisition. With this acquisition, Blend360 gains a stronger foothold in the global data engineering and AI market. In516ht, headquartered in Ljubljana, Slovenia, operates subsidiaries in Dubai and Riyadh. The company brings more than 15 years of experience in enterprise data transformation and AI solution delivery. This integration connects Blend360 with In516ht's 90 seasoned professionals who have completed hundreds of projects across diverse industries such as financial services, retail, and energy. Enhancing Snowflake expertise and enterprise AI capabilities. In516ht has built its reputation as an early adopter and accomplished partner of the Snowflake Data Cloud. The firm's expertise lies in migrating legacy systems and constructing scalable data foundations for AI. Recognized as the 2025 EMEA Data Cloud Service Growth Partner of the Year, In516ht strengthens Blend360's engineering proficiency. With this partnership, clients benefit from faster Snowflake implementations and a unified service experience spanning from platform design to enterprise AI solutions. What this strategic move means for Blend360's clients. Clients working with Blend360 will now enjoy: * Deeper access to Snowflake expertise and advanced analytics. * Faster, more seamless migration and implementation processes. * Comprehensive support - from initial system migration to AI production. * Stronger integration with the Snowflake ecosystem and collaborative go-to-market initiatives. In summary, Blend360's acquisition of In516ht signifies a major leap in the company's global growth and AI capabilities. By joining forces, the two organizations aim to deliver superior data and AI experiences while enabling enterprises worldwide to accelerate innovation and unlock the full potential of their data.