Publié il y a 3 mois
Lead AI Engineer
@ Tiger Analytics Inc.
Télétravail au Canada
En bref
Tiger Analytics is hiring a Lead AI Engineer to lead the end-to-end AI engineering workstream for the Luma platform. The role covers architecture and delivery of enterprise Agentic AI solutions, mentoring engineers and serving as the main technical contact for the client.
Responsabilités :
- Lead AI architecture and engineering roadmap for Agentic AI platforms
- Design and deliver scalable, production-grade AI solutions
- Oversee AI platform services, APIs, MLOps and cloud infrastructure
- Partner with clients on architecture and AI roadmap
- Mentor engineers and lead multiple engineering teams
Résumé des exigences :
- 10 to 15+ years in software engineering
- 5+ years leading AI/ML engineering teams
- Expert Python and experience deploying enterprise AI platforms on AWS
- Strong client-facing and solution architecture experience
Outils et compétences
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-08-04
- Première détection par notre source
- 2026-10-10
- Mise à jour du dossier source
- 2026-10-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Chef d’équipe |
| Domaine | Développement logiciel |
| Expérience | 10 an(s) et plus |
| Expérience en gestion | 5 an(s) et plus |
| Gestion d’équipe | Oui |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Tiger Analytics Inc.
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.
Description complète de l’entreprise
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
- Abonnés LinkedIn
- 630 421
- Personnes associées sur LinkedIn
- 6 613
- Bureaux déclarés
- 2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US
- 111 Town Square Pl, Jersey City, New Jersey 07310, US
- 36 Robinson Rd, Singapore, Singapore 068877, SG
- 55 E Monroe, Suite 3800, Chicago, Illinois 60603, US
- 5151 Headquarters Dr, Plano, Texas 75024, US
- 65 St Paul’s Churchyard, 3rd Floor Paternoster House, London, EC4M 8AB, GB
- 383 Kent St, Level 17, Sydney, New South Wales 2000, AU
- 200 Bay St, North Tower, Suite 1200, PO Box 96, Toronto, Ontario M5J 2J2, CA
- RMZ Millenia Business Park 2, Campus 5, 2nd Floor, No. 143, Kandanchavadi, MGR Road, Perungudi, Chennai, Tamil Nadu 600096, IN
- Prestige Tech Park, 1st floor Mercury Block, Kadubeesanahalli, Bengaluru, 560103, IN
- 8th Floor, B block (iSprout), Divyasree Trinity, Hitech City Rd, Madhapur,, Hyderabad, Telangana 500081, IN
- De Entree 252, Amsterdam, North Holland 1101 EE, NL
- Catégories d’activité
- News
- Consulting
- Analytics
- Advertising
- Big Data
- Machine Learning
- Autres noms enregistrés
- Tiger Analytics
- Tiger Analytics Inc.
- Spécialités
- Machine Learning
- Predictive Analytics
- Forecasting
- Natural Language Processing
- Computer Vision
- Cloud Data Platform Engineering
- Data-as-a-service
- Lean Data Governance
- Modern BI & Data Warehousing
- AI/ML Ops
- ML Product Engineering
- Data Engineering
- Data Modernization
- and Generative AI
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge…
| Champ | Valeur |
|---|---|
| Secteur | Business Consulting and Services |
| Taille | 5,001-10,000 employees |
| Siège social | Santa Clara, CA |
| Type d’organisation | Privately Held |
| Fondée en | 2011 |
| Spécialités | Machine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops |
| Offres sur Jobsy | 81 |
| Voir la page |
Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. This is a hands-on technical leadership role responsible for driving the architecture, design, and delivery of enterprise-scale Agentic AI solutions while serving as the primary technical interface for the client.
The ideal candidate will combine deep expertise in AI engineering, distributed systems, cloud-native architectures, and MLOps with exceptional stakeholder management skills. This individual will oversee multiple engineering pods, mentor technical teams, drive engineering excellence, and partner closely with client leadership to shape the AI roadmap and ensure successful delivery.
Key Responsibilities
- Lead AI architecture and engineering roadmap for Agentic AI platforms.
- Design and deliver scalable, production-grade AI solutions.
- Oversee AI platform services, backend APIs, microservices, MLOps, observability, and cloud infrastructure.
- Partner with clients to translate business needs into AI solutions and lead architecture discussions.
- Mentor AI engineers, conduct design/code reviews, and drive engineering best practices.
- Lead multiple engineering teams, manage delivery, risks, and technical roadmaps.
- Evaluate and adopt emerging AI technologies and frameworks.
Required Skills
- AI/ML: GenAI, LLMs, Agentic AI, Multi-Agent Systems, RAG, Prompt Engineering, AI Guardrails, MLOps.
- Programming: Python (expert), Golang, REST APIs, Async Programming.
- Cloud: AWS (Bedrock/AgentCore preferred), Lambda, ECS/EKS, API Gateway, Step Functions, S3, DynamoDB, CloudWatch.
- Backend: Microservices, Docker, Kubernetes, Distributed Systems.
- Leadership: Client-facing consulting, architecture design, stakeholder management, mentoring, and technical leadership.
Qualifications
- 10–15+ years in software engineering with 5+ years leading AI/ML engineering teams.
- Experience building and deploying enterprise AI platforms on AWS.
- Strong client-facing, solution architecture, and cross-functional leadership experience.
Preferred
- AWS Bedrock, LangGraph, CrewAI, AutoGen, AI Copilots, AI Observability, Enterprise SaaS, and large-scale distributed systems.
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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