{"id":31736,"url":"https://alion.io/job/blend360-ai-engineering-lead","title":"AI Engineering Lead","company":{"id":4305,"name":"Blend360","domain":"blend360.com","url":"https://alion.io/company/blend360","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":64,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Guadalajara, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":54000,"max_usd":134000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1286},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-02-27T17:27:05Z","employer_posted_date":"2026-02-27","last_verified_at":"2026-10-29T21:10:26Z","board_verified":true,"closed_at":null,"days_open":244,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":243},"description":"Blend is a premier AI services 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 value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com\nWe are seeking an AI Engineer Lead to contribute to our next level of growth and expansion.\nWhat is this position about?\nWe are looking for our first AI Engineer Lead for our Guadalajara, Mexico office, to drive the design, architecture, and production deployment of advanced Generative AI solutions. This role will be responsible for leading the technical direction of LLM-based systems, agentic workflows, and applied AI initiatives, while collaborating closely with Engineering, Product, and ML Ops teams. The role requires strong hands-on expertise combined with technical leadership capabilities.\n Architect and lead the implementation of production-grade AI solutions leveraging LLMs, transformer-based models, RAG pipelines, and agentic systems.\n\nDesign, develop, and optimize multi-step AI agents capable of tool/API invocation, reasoning chains, and state management.\n\nOversee the deployment of AI-powered applications across cloud environments (AWS, Azure, or GCP) ensuring scalability, reliability, and cost-efficiency.\n\nEstablish best practices for prompt engineering, evaluation frameworks, and model performance monitoring (latency, grounding, factuality, cost).\n\nImplement guardrails and Responsible AI practices, including prompt injection mitigation, content moderation, bias reduction, and safety controls.\n\nCollaborate cross-functionally with Data Scientists, Software Engineers, and Product stakeholders to take AI solutions from prototype to full production ownership.\n\nMentor and guide junior and mid-level engineers, ensuring high-quality, modular, and maintainable Python code standards.\n\nDrive experimentation strategies, define KPIs, and promote data-driven decision-making across AI initiatives.\n\n Degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience).\n\nStrong expertise in transformer-based models and LLM architectures.\n\nProven experience designing and deploying applied machine learning or generative AI systems to production environments.\n\nHands-on experience with LLM frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, Azure Prompt Flow, AWS Bedrock Agents, or similar tools.\n\nAdvanced proficiency in Python and production-grade coding practices.\n\nExperience with containerization, CI/CD pipelines, versioning, and cloud-native architectures.\n\nStrong leadership skills with the ability to bridge rapid prototyping and scalable production deployment.\n\nExcellent collaboration and communication skills, with experience working at the intersection of Data Science and Engineering.\n\n Our Perks and Benefits:\nLearning Opportunities:\nCertifications in AWS (we are AWS Partners), Databricks, and Snowflake.\n\nAccess to AI learning paths to stay up to date with the latest technologies.\n\nStudy plans, courses, and additional certifications tailored to your role.\n\nAccess to Udemy Business, offering thousands of courses to boost your technical and soft skills.\n\nEnglish lessons to support your professional communication.\n\nTravel opportunities to attend industry conferences and meet clients.\nMentoring and Development:\nCareer development plans and mentorship programs to help shape your path.\n\nCelebrations & Support:\nSpecial day rewards to celebrate birthdays, work anniversaries, and other personal milestones.\n\nCompany-provided equipment.\n\nFlexible working options to help you strike the right balance.\nOther benefits may vary according to your location in LATAM. 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