We’re on a mission to create a global payment ecosystem that connects businesses and consumers everywhere.
AI Tech Lead
Location
Worldwide
Posted
13 days ago
Salary
0
Seniority
Lead
No structured requirement data.
Job Description
AI Tech Lead
emerchantpay
Role Description We are looking for an AI Tech Lead to lead the design, engineering, and rollout of AI-powered solutions, with a strong focus on AI engineering, AI agents, agentic workflows, applied machine learning, and production-grade AI systems. The role combines hands-on technical leadership, architecture, delivery ownership, and people leadership. The AI Tech Lead will guide a small but growing AI engineering team and work closely with product, engineering, data, security, infrastructure, and business stakeholders to turn AI opportunities into reliable production systems. The role will have a strong focus on AWS, including advanced AI services such as Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker, and other AWS AI/ML and cloud-native services. Responsibilities - Lead the technical design, architecture, and delivery of AI solutions, with a focus on AI agents, agentic workflows, automation, and AI-assisted business processes. - Own the end-to-end engineering lifecycle of AI products: discovery, prototyping, evaluation, production implementation, rollout, monitoring, and continuous improvement. - Lead and manage an AI engineering team, including technical direction, task breakdown, mentoring, code reviews, delivery planning, and engineering quality. - Design and implement solutions using AWS AI/ML services, including Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker, and other AWS services for model hosting, orchestration, data processing, monitoring, and security. - Build and integrate AI applications using technologies such as Python (FastAPI/Flask/Django) or equivalent, along with relevant AI/ML frameworks. - Design agentic systems that can interact with APIs, internal platforms, business workflows, knowledge bases, and external tools in a safe, observable, and controlled way. - Define and implement best practices for LLM application development, including prompt engineering, RAG, tool use, function calling, memory, evaluation, guardrails, and hallucination mitigation. - Drive improvements in internal engineering practices around AI-assisted development, engineering productivity, AI efficiency, automation, and responsible use of AI tools across software delivery. - Work with stakeholders to identify high-value AI use cases, assess feasibility, define success metrics, and prioritize delivery. - Establish engineering standards for AI systems, including code quality, testing, observability, reliability, security, scalability, and maintainability. - Drive MLOps and LLMOps practices, including model lifecycle management, deployment pipelines, monitoring, evaluation, drift detection, and rollback strategies. - Collaborate with DevOps, cloud, security, and platform teams to ensure AI systems are production-ready, compliant, cost-efficient, and operationally stable. - Support rollout and adoption of AI solutions across the organization, including documentation, training, stakeholder communication, and production support. - Evaluate emerging AI technologies, frameworks, models, and vendors, and provide pragmatic recommendations on adoption. - Ensure AI solutions follow responsible AI principles, including data privacy, access control, auditability, fairness, explainability where applicable, and secure handling of sensitive data. Qualifications - Minimum 10 years of professional experience in software engineering, data engineering, machine learning engineering, AI engineering, or related technical roles. - At least 3 years of experience leading or managing engineering teams, including technical leadership, mentoring, planning, and delivery ownership. - Strong hands-on experience building production-grade AI, ML, and data-driven systems. - Practical experience with AI agents, agentic workflows, LLM-based applications, workflow automation, tool-calling architectures, and AI orchestration patterns. - Strong knowledge of AWS, including practical experience with cloud-native architectures, Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker, and related AWS AI/ML services (the more, the better). - Build and integrate AI applications using technologies such as Python (FastAPI/Flask/Django), and relevant AI/ML frameworks. - Experience with advanced LLM frameworks such as LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar agent/orchestration frameworks. - Experience building RAG systems, including document ingestion, chunking strategies, embeddings, retrieval evaluation, reranking, and grounding techniques. - Solid understanding of machine learning concepts, including supervised/unsupervised learning, model training, feature engineering, evaluation, inference, and model performance metrics. - Experience with MLOps / LLMOps, including CI/CD for ML and AI applications, model deployment, experiment tracking, model/prompt/version management, monitoring, evaluation pipelines, and production rollback strategies. - Experience with vector databases and retrieval/search technologies, such as Amazon OpenSearch, Pinecone, pgvector, or similar. - Experience with model fine-tuning, embedding models, transformer architectures, open-source LLMs, and model benchmarking. - Experience designing APIs, microservices, event-driven systems, and cloud-native backend architectures. - Strong understanding of security and governance requirements for AI systems, including access control, secrets management, data privacy, audit logging, and safe use of sensitive data. - Experience working with cross-functional teams, including product managers, architects, engineers, data scientists, security teams, and business stakeholders. - Ability to move from prototype to production without creating “AI demo theater” — the system must actually work, scale, and survive contact with real users. - Strong communication skills, with the ability to explain complex AI and engineering topics to both technical and non-technical audiences. - Strong ownership mindset, pragmatic decision-making, and ability to balance innovation with delivery discipline. Considered as an Advantage - Experience with containerization and orchestration, including Docker and EKS/ECS. - Experience with infrastructure as code using Terraform, AWS CDK, or CloudFormation. - Experience with data platforms, ETL/ELT pipelines, data lakes, feature stores, and real-time data processing. - Experience implementing responsible AI controls, AI governance frameworks, safety guardrails, and compliance processes. - Experience integrating AI systems with enterprise platforms, internal APIs, CRM/ERP systems, ticketing systems, knowledge bases, and workflow engines. - Experience managing AI adoption programs, internal AI platforms, or organization-wide AI enablement initiatives. - Contributions to open-source AI/ML projects, published technical content, conference talks, or patents in AI/ML-related areas. - AWS certifications, especially in architecture, machine learning, security, or DevOps. - Experience in fintech. Benefits - Fast-growing payment company; - Excellent working conditions, casual atmosphere, and state-of-the-art hardware; - Modern, challenging, constantly growing business; - Professional development – books, trainings, certifications, etc.; - Team buildings and fun activities; - 25 days paid holiday, 1 day for every 2 years with us; - Fully distributed and remote.
Related Guides
Related Categories
Related Job Pages
More Artificial Intelligence Jobs
Role Description Siamo alla ricerca di un/una Data Protection Officer (DPO) che garantisca la conformità dell’organizzazione alla normativa vigente in materia di protezione dei dati personali, in particolare al GDPR. La risorsa sarà responsabile della supervisione delle politiche e dei processi aziendali relativi al trattamento dei dati, fungendo da punto di contatto tra l’azienda, le autorità di controllo e gli interessati. - Monitorare la conformità al Regolamento (UE) 2016/679 (GDPR) e alle normative privacy applicabili - Fornire consulenza interna su tematiche di protezione dei dati e privacy - Supportare le funzioni aziendali nella valutazione dei rischi (DPIA) e nell’implementazione di misure di sicurezza adeguate - Redigere, aggiornare e supervisionare policy, procedure e documentazione privacy - Gestire e monitorare eventuali data breach, inclusa la notifica alle autorità competenti - Fungere da punto di contatto per il Garante per la protezione dei dati personali - Erogare formazione interna e promuovere la cultura della privacy in azienda - Collaborare con IT Security, Legal e Compliance per garantire un approccio integrato alla gestione dei dati Qualifications - Laurea in Giurisprudenza, Economia, Informatica o discipline affini - Esperienza pregressa nel ruolo di DPO o in ambito privacy/compliance (idealmente in realtà di consulenza) - Conoscenza approfondita del GDPR e della normativa privacy nazionale ed europea - Familiarità con processi IT, sicurezza informatica e gestione dei dati - Capacità di analisi dei rischi e problem solving - Ottime doti comunicative e relazionali e attitudine a lavorare in team - Ottima conoscenza della lingua inglese - Certificazioni in ambito privacy (es. CIPP/E, CIPM, DPO) - Esperienza in contesti strutturati o multinazionali - Conoscenza di framework di sicurezza (ISO 27001, NIS, ecc.) Benefits - People at the center of our culture - Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone. - Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti. - Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. - Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti. - Troverai una policy che supporta il lavoro AGILE fino al 100% del proprio tempo e favorisce il work-life integration. - Valorizziamo l’unicità e ci impegniamo a garantire che tutte le nostre persone abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro. - Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99. Next Steps Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente. Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca. L’iter di selezione comprende generalmente un colloquio con HR, un colloquio tecnico con un line manager ed un eventuale colloquio con un Partner. L’ordine e il numero delle interviste potrebbero variare a seconda delle esigenze di recruiting. In alternativa, saremo felici di conservare il tuo CV nel nostro database per poterlo rivalutare per altre opportunità future. Se dovessi identificare ulteriori posizioni di tuo interesse ed in linea con il tuo profilo, aspettiamo la tua candidatura per poterla valutare nuovamente.
Role Description Als Co-Founder in Residence arbeitest du eng mit dem Gründer am Aufbau von VetIntelligence und der Weiterentwicklung der einzelnen Marken. Du bist Sparringspartner:in, Mitdenker:in und Umsetzer:in zugleich – strategisch wie operativ. Aufgaben - Aufbau und Positionierung der Marken VetExperts, VetAgent, VetsConnect und VetMedia - Business Development, Vertrieb und Partnerschaften - Talent Acquisition und Recruiting-Prozessen im Bereich VetExperts - Weiterentwicklung digitaler Lösungen rund um VetAgent - Social Media, Content, Community und Sichtbarkeit - Struktur, Prozesse, Projektplanung und operative Umsetzung Qualifications - unternehmerisch denkst und gerne Verantwortung übernimmst - Interesse an Tiermedizin, Recruiting, Plattformen oder digitalen Geschäftsmodellen hast - strukturiert, verbindlich und pragmatisch arbeitest - gerne kommunizierst, vernetzt und Dinge vorantreibst - Lust hast, sowohl strategisch mitzudenken als auch operativ anzupacken - Erfahrung in Start-ups, Business Development, Recruiting, Marketing, Tiermedizin oder digitalen Geschäftsmodellen ist hilfreich und von Vorteil, aber nicht zwingend erforderlich. Benefits - direkter Austausch mit dem Gründer - Aufbau mehrerer Marken mit klarem Marktpotenzial - viel Verantwortung und Gestaltungsspielraum - kurze Entscheidungswege - perspektivisch die Chance auf eine langfristige Führungs-, Beteiligungs- oder Co-Founder-Rolle Unsere Vision Die VetIntelligence soll zentrale Zukunftsthemen der Tiermedizin intelligent verbinden: Personal, Karriere, digitale Unterstützung, Netzwerk, Wissen und Sichtbarkeit. Unser Ziel ist es, Marken aufzubauen, die die Tiermedizin besser vernetzen, entlasten und zukunftsfähiger machen. Kontakt Wenn du Lust hast, VetIntelligence aktiv mit aufzubauen, freuen wir uns über deine Bewerbungsunterlagen, inklusive einer Darlegung deiner Motivation.
• Design and develop power electronic circuits (e.g., DC-DC converters, LDOs, AC-DC supplies, automotive power systems) • Create and maintain schematics and PCB layouts using tools such as KiCad, Altium, or similar • Select and validate components based on electrical requirements and datasheet specifications • Evaluate circuit performance including efficiency, ripple, thermal behavior, and reliability • Apply best practices for PCB layout, including grounding strategies, routing, EMI mitigation, and DFM considerations • Prepare manufacturing deliverables such as BOMs, Gerber files, and pick-and-place data • Perform validation through simulations, calculations, and design rule checks (DRC) • Define structured validation methodologies covering electrical specs, component compliance, and design integrity • Establish evaluation criteria for PCB layouts, including DRC/LVS, thermal performance, and power integrity • Collaborate with engineering and cross-functional teams to improve design quality and evaluation processes
• Own and drive the design and delivery of production-grade agentic AI/ML solutions and platforms for global enterprise clients. • Translate complex business requirements into opinionated, prescriptive architectures and implementation plans that leverage modern agentic stacks, LLMs, and cloud-native AI/ML platforms. • Lead Zero-to-One delivery for the India Agentic Delivery Center, taking engagements from initial discovery through to production-ready agents and closed-loop intelligence workflows. • Ensure engagements are delivered on time, within scope, and with measurable business value for clients, including under fixed-price and outcome-based commercial models. • Communicate the business value, ROI, and risks of agentic solutions to both technical and non-technical stakeholders, including executive and C-level audiences. • Collaborate with cross-functional partners including global leadership, forward-deployed US-based engineers, data engineering, analytics, partner, and marketing teams to deliver successful client engagements. • Partner with the Global Leadership team to prioritize agentic solutions and accelerators based on market demand, key technology stacks (e.g., Snowflake, AWS), and phData’s strategic roadmap. • Provide technical and strategic leadership during client workshops, discovery sessions, architecture reviews, and delivery governance forums. • Serve as the primary point of escalation for India-based delivery, resolving technical issues, client misalignments, and performance concerns with urgency and ownership. • Ensure high quality in deliverables through engineering best practices, including robust SDLC processes, code reviews, documentation, testing, and production-readiness standards. • Architect and stand up the foundational India Agentic Delivery Center, designing delivery models, operating mechanisms, and integrations with the broader consulting organization. • Recruit, onboard, and develop an elite team of architects and engineers, setting a high technical bar and ensuring consistent performance management and calibration. • Drive the development of reusable accelerators, modular agentic codebases, and solution templates that can be applied across clients and industries. • Contribute to internal initiatives such as IP development, capability management, partner engagement, and thought leadership aligned to AI/ML and agentic architectures. • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders and acting as the face of the India agentic team with clients. • Act as a trusted advisor to senior client stakeholders and C-suite executives, shaping AI/ML and agentic roadmaps, influencing strategic decisions, and guiding long-term transformation initiatives. • Mentor and coach architects and engineers, fostering a culture of extreme ownership, high performance, continuous learning, and feedback. • Help define and refine global practice standards, technical bars, and delivery frameworks for agentic AI/ML solutions, ensuring alignment across regions. • Drive strategic growth of the Agentic Delivery Center by identifying new opportunities, informing go-to-market strategies, and partnering with alliances and marketing on field-facing assets.
