AWS AI Engineer - Lead
$115k - $125kSynechron
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,850+, and has 60 offices in 20 countries within key global markets. Role Summary We are seeking an experienced AWS AI Engineer – Lead to design, develop, and lead enterprise-scale AI/ML solutions on AWS. The ideal candidate will have strong expertise in the AWS AI stack , with hands‑on experience in Amazon Transcribe, Amazon Comprehend, and Amazon Bedrock , along with a proven ability to architect and deploy intelligent, scalable, and secure cloud‑native solutions. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Pisacataway,NJ is $115-125 k/year & benefits (see below). Key Responsibilities Lead the design and implementation of AI/ML solutions using AWS services. Architect and build intelligent applications leveraging the AWS AI stack . Develop and integrate solutions using: Amazon Transcribe for speech-to-text and audio processing use cases Amazon Comprehend for natural language processing, sentiment analysis, entity recognition, and text analytics Amazon Bedrock for building generative AI applications using foundation models Collaborate with business, product, and engineering teams to identify AI‑driven opportunities and translate requirements into scalable solutions. Design end-to-end data and AI workflows, including ingestion, preprocessing, model integration, and deployment. Ensure AI solutions meet security, compliance, performance, and cost‑optimization requirements. Guide the team on best practices for AWS architecture, MLOps, and AI solution deployment. Provide technical leadership, mentoring, and code/design reviews for junior engineers. Evaluate emerging AWS AI/ML services and recommend innovative solutions for business needs. Required Skills Strong experience as an AWS AI Engineer / Lead AI Engineer / Solution Architect . Deep hands‑on expertise in the AWS AI stack , especially: Amazon Transcribe Amazon Bedrock Strong understanding of AI/ML solution architecture on AWS. Experience building NLP, speech analytics, and generative AI applications. Proficiency in Python and working knowledge of APIs, SDKs, and cloud‑native integrations. Experience with AWS services such as Lambda, S3, API Gateway, Step Functions, IAM, CloudWatch, and SageMaker. Knowledge of prompt engineering, foundation models, and LLM‑based application development. Experience with CI/CD, DevOps, and MLOps practices in cloud environments. Strong understanding of security, scalability, and cost optimization in AWS. Excellent problem‑solving, leadership, and stakeholder management skills. Preferred Qualifications AWS certifications such as AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect . Experience with enterprise AI transformation programs. Familiarity with vector databases, RAG architectures, and conversational AI solutions. We offer A highly competitive compensation and benefits package. A multinational organization with 60 offices in 20 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long‑/short‑term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On‑demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellence (CoE) groups. Cutting edge projects at the world’s leading tier‑one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun‑loving, and global work culture.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. #J-18808-Ljbffr Synechron- Synechron seeks an experienced AWS AI Engineer - Lead to design, develop, and lead enterprise-scale AI/ML solutions on AWS. The role emphasizes hands-on work with Amazon Transcribe, Comprehend, and Bedrock, guiding architecture, deployment, and secure cloud-native practices...Amazon Web Service
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